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Day: 15 June 2023

IFOY Test Report: FFZ-KPI by Mobile Easykey

Posted on by David Priestman

In the run-up to the IFOY Award ceremony in Dortmund on June 22nd, Logistics Business features all the 2023 finalists and shares the verdict from the IFOY test conducted during the evaluation by an expert jury in March. Our latest entry is the FFZ-KPI software solution from Mobile Easykey.

With the Industrial Truck Key Performance Indicator developed by Mobile Easykey, users can see the performance of their intralogistics industrial truck fleet at a glance. This makes the time-consuming analysis of Excel tables and individual parameters a thing of the past. The Industrial Truck Key Performance Indicator is based on the OEE as an industry indicator for production plants. With the hardware and software developed, Mobile Easykey has expanded this industry indicator for moving machines and created a novelty in intralogistics analysis with the KPI.

IFOY category: Intralogistics Software

IFOY Test Report

The Industrial Truck, in German Flurförderzeug (FFZ), Key Performance Indicator, or FFZ-KPI for short, from the company Mobile Easykey enables the fleet efficiency of the intralogistics fleet to be determined at a glance. The prerequisites for this are a clear key figure and the easy-to-read visual traffic light system.

The FFZ-KPI is made up of four measurement parameters that are calculated together in an algorithm. The following are taken into account: the industrial truck is powered up, the industrial truck is logged on, the industrial truck is in use and the industrial truck is being driven with a load.

Fifty percent of logistics costs are based on the processes in a warehouse, and thus the industrial truck fleet also contributes a large share of the costs incurred there. The FFZ-KPI provides a manufacturer-neutral view of the performance of the fleet. It is manufacturer-independent, comparable and can be calculated on variable requirement parameters. When collecting the analysis data, the industry and the cycles of the processes on site are taken into account – because the process flows of a warehouse created on the drawing board vary greatly from warehouses that have grown organically. Reliable data can be collected per shift, per month, per fleet and also per vehicle or vehicle type.

From the collected data, clear conclusions can be drawn for fleet optimisation and future fleet deployment. Fleet managers and those responsible for the fleet can thus see the overall performance of the fleet at a glance. This is an important building block for making optimum use of the existing intralogistics fleet.

The FFZ KPI is based on the cross-industry OEE figure. This reflects the overall equipment effectiveness as a key business figure. The OEE figure is based on immobile plant and machinery. The FFZ-KPI adds further calculation parameters to the OEE key figure, which makes the key figure calculable for mobile plants.

IFOY test verdict: Intralogistics account for half of logistics costs and almost no warehouse can do without industrial trucks. However, the costs within intralogistics outside of the supply chain are often neglected because meaningful and clearly assignable data are missing. Consequently, there is great potential for savings in modern and efficient fleet management. The main advantages of the Industrial Truck Key Performance Indicator are the manufacturer-independent data and the possibility of cross-manufacturer data analysis. In addition, the KPI is easy to read due to the visual traffic light system. This makes the time-consuming analysis of Excel tables and individual parameters a thing of the past. The FFZ KPI is based on the OEE as an industry indicator for production plants. With the hardware and software developed, Mobile Easykey has expanded this industry indicator for mobile machines and created a novelty in intralogistics analysis with the KPI. Another important component is the cross-industry use of the KPI.

IFOY Innovation Check

Market relevance: The FFZ-KPI software is well suited for systematically evaluating the use of industrial trucks in larger fleets and visualising it in key figures. This provides the user with a data basis for drawing conclusions as to whether the availability and use of his trucks can be responsible for an influence on his operational effectiveness. In production companies, this is often referred to as overall equipment effectiveness (OEE). Since companies with significantly large fleets of FFZs and a focus on OEE are certainly relevant, but do not affect the overall FFZ market, the market relevance can be rated as good.

Customer benefit: The condensation and visualisation of the usage and availability figures is well solved for a regular application. The customisation options for individual usage profiles of individual FFZs and the design of the dashboard testify to a high level of competence in the development of user-friendly user interfaces. Overall, however, a high level of effort is required for data collection and aggregation, which is the basis for the determination of key figures. Overall, customer benefit can be rated as good.

Novelty / Innovation: Mobile Easykey has been offering the core functionality of the Easykey software for more than 20 years, which means that it is not new or innovative in the strict sense of the word. The software is the result of a consistently pursued evolution, which has led to a well-developed and contemporary software.

Functionality / Type of Implementation: The Easykey software offers the essential functions, properly prepared and user-friendly, to monitor large FFZ fleets and to condense key figures on their use and availability. It is technologically up-to-date, intuitive, and easy to adapt to the needs of different user characteristics and needs well.

Verdict: Mobile Easykey has been offering the core functionality of the Easykey software for more than 20 years, so it is not new or innovative in the strictest sense. However, the software is up to date and can be well adapted to the needs of different user characteristics and needs.

Market relevance +
Customer benefit +
Novelty / Innovation –
Functionality / Type of implementation +
[KEY: ++ very good / + good / Ø balanced / – less / — not available]

 

IFOY Test Report: FFZ-KPI by Mobile Easykey

Posted on by David Priestman

In the run-up to the IFOY Award ceremony in Dortmund on June 22nd, Logistics Business features all the 2023 finalists and shares the verdict from the IFOY test conducted during the evaluation by an expert jury in March. Our latest entry is the FFZ-KPI software solution from Mobile Easykey.

With the Industrial Truck Key Performance Indicator developed by Mobile Easykey, users can see the performance of their intralogistics industrial truck fleet at a glance. This makes the time-consuming analysis of Excel tables and individual parameters a thing of the past. The Industrial Truck Key Performance Indicator is based on the OEE as an industry indicator for production plants. With the hardware and software developed, Mobile Easykey has expanded this industry indicator for moving machines and created a novelty in intralogistics analysis with the KPI.

IFOY category: Intralogistics Software

IFOY Test Report

The Industrial Truck, in German Flurförderzeug (FFZ), Key Performance Indicator, or FFZ-KPI for short, from the company Mobile Easykey enables the fleet efficiency of the intralogistics fleet to be determined at a glance. The prerequisites for this are a clear key figure and the easy-to-read visual traffic light system.

The FFZ-KPI is made up of four measurement parameters that are calculated together in an algorithm. The following are taken into account: the industrial truck is powered up, the industrial truck is logged on, the industrial truck is in use and the industrial truck is being driven with a load.

Fifty percent of logistics costs are based on the processes in a warehouse, and thus the industrial truck fleet also contributes a large share of the costs incurred there. The FFZ-KPI provides a manufacturer-neutral view of the performance of the fleet. It is manufacturer-independent, comparable and can be calculated on variable requirement parameters. When collecting the analysis data, the industry and the cycles of the processes on site are taken into account – because the process flows of a warehouse created on the drawing board vary greatly from warehouses that have grown organically. Reliable data can be collected per shift, per month, per fleet and also per vehicle or vehicle type.

From the collected data, clear conclusions can be drawn for fleet optimisation and future fleet deployment. Fleet managers and those responsible for the fleet can thus see the overall performance of the fleet at a glance. This is an important building block for making optimum use of the existing intralogistics fleet.

The FFZ KPI is based on the cross-industry OEE figure. This reflects the overall equipment effectiveness as a key business figure. The OEE figure is based on immobile plant and machinery. The FFZ-KPI adds further calculation parameters to the OEE key figure, which makes the key figure calculable for mobile plants.

IFOY test verdict: Intralogistics account for half of logistics costs and almost no warehouse can do without industrial trucks. However, the costs within intralogistics outside of the supply chain are often neglected because meaningful and clearly assignable data are missing. Consequently, there is great potential for savings in modern and efficient fleet management. The main advantages of the Industrial Truck Key Performance Indicator are the manufacturer-independent data and the possibility of cross-manufacturer data analysis. In addition, the KPI is easy to read due to the visual traffic light system. This makes the time-consuming analysis of Excel tables and individual parameters a thing of the past. The FFZ KPI is based on the OEE as an industry indicator for production plants. With the hardware and software developed, Mobile Easykey has expanded this industry indicator for mobile machines and created a novelty in intralogistics analysis with the KPI. Another important component is the cross-industry use of the KPI.

IFOY Innovation Check

Market relevance: The FFZ-KPI software is well suited for systematically evaluating the use of industrial trucks in larger fleets and visualising it in key figures. This provides the user with a data basis for drawing conclusions as to whether the availability and use of his trucks can be responsible for an influence on his operational effectiveness. In production companies, this is often referred to as overall equipment effectiveness (OEE). Since companies with significantly large fleets of FFZs and a focus on OEE are certainly relevant, but do not affect the overall FFZ market, the market relevance can be rated as good.

Customer benefit: The condensation and visualisation of the usage and availability figures is well solved for a regular application. The customisation options for individual usage profiles of individual FFZs and the design of the dashboard testify to a high level of competence in the development of user-friendly user interfaces. Overall, however, a high level of effort is required for data collection and aggregation, which is the basis for the determination of key figures. Overall, customer benefit can be rated as good.

Novelty / Innovation: Mobile Easykey has been offering the core functionality of the Easykey software for more than 20 years, which means that it is not new or innovative in the strict sense of the word. The software is the result of a consistently pursued evolution, which has led to a well-developed and contemporary software.

Functionality / Type of Implementation: The Easykey software offers the essential functions, properly prepared and user-friendly, to monitor large FFZ fleets and to condense key figures on their use and availability. It is technologically up-to-date, intuitive, and easy to adapt to the needs of different user characteristics and needs well.

Verdict: Mobile Easykey has been offering the core functionality of the Easykey software for more than 20 years, so it is not new or innovative in the strictest sense. However, the software is up to date and can be well adapted to the needs of different user characteristics and needs.

Market relevance +
Customer benefit +
Novelty / Innovation –
Functionality / Type of implementation +
[KEY: ++ very good / + good / Ø balanced / – less / — not available]

 

5 Ways to more Sustainable Logistics

Posted on by David Priestman

Modern, sustainable logistics services involve many stakeholders. When the right amount of goods doesn’t arrive at the right time, it creates irritation, reflects on customer service, and incurs cost. That cost is not just to the value chain, it’s to our wider environment. When more goods are shipped more often than they need, they use up more valuable resources.

In the supply chain, the only way you can really know what happened is to see what happened. Intelligent Video and AI Services give companies true insight and the ability to lead fact-based improvement initiatives which improve each company’s efforts to become more sustainable.

Innovating where it matters

Intelligent video and AI Services give you the benefits of fact-based visual insights combined with real-time assistance to enable flawless logistics. “We collaborate with cutting-edge technology players in the fields of video, Cloud computing, Edge computing and AI to enable logistics providers to make significant gains throughout their operations,” says Stefan Borg (pictured), CEO at SiB Solutions. “We identified the processes that benefit from flawless logistics and the savings to be made, namely picking, receiving, transport, loading and packing. We see that companies are investing more and more in logistics technologies to become leaner, and especially more sustainable.”

Five steps towards a sustainable supply chain through flawless logistics

Stefan outlines five ways flawless logistics can make a real difference to a company’s sustainability efforts.

1: Leave nothing behind and avoid unnecessary shipments

“Most picking assignments revolve around putting items out of conveyors and into boxes. But it’s easy for items to be left behind,” says Stefan. “By using intelligent video and AI in critical processes it’s possible to verify if the conveyor is empty or not and give operators a window of time to correct a fault.”

2: Check for faults in Human Machine Interaction to improve working conditions
“Hiccups in the way a machine is set up can cause humans to make errors. For instance operators may get delayed information due to seconds of lag. Similarly, there may be something missing or unclear in the interface design. If you visually search for behaviour patterns, you can find them. And come down on the side of humans!”

3: Strive for better fill rates and avoid shipping air
“A simple visual test to measure to what extent a box is filled – and then fill it, makes sure you’re not using fuel to ship air,” says Stefan. “Intelligent Video and AI Services verifies output and gives an opportunity to correct master data used earlier in the process, enabling continuous improvement to optimize fill rates.”

4: Use visual evidence to improve circular goods flows
“One way to achieve circular goods flows is through reusable pallets, but where are they exactly?” Asks Stefan. “RFID scanning lets you know that the pallets have passed a certain checkpoint, but adding visual evidence lets you know exactly where they are, or were, pre-or post scanning, safeguarding the movement of valuable assets – the pallets, or even the goods themselves.

5: Use intelligent video and AI services to cut down resource use
“Energy is scarce, and becoming more so as more people chase fewer resources. Using flawless logistics throughout the supply chain, from guiding operators to put the right goods on the right pallets, to shipping the right goods to cut down on returns, to ensuring goods don’t go missing in transit; all means less use of scarce resources,” comments Stefan.

Flawless logistics isn’t just good for your brand and your bottom line. It’s good for people, and especially good for the planet. Stefan Borg is co-founder and CEO of SiB Solutions, possessing over 30 years’ experience in logistics and energy at management level.

5 Ways to more Sustainable Logistics

Posted on by David Priestman

Modern, sustainable logistics services involve many stakeholders. When the right amount of goods doesn’t arrive at the right time, it creates irritation, reflects on customer service, and incurs cost. That cost is not just to the value chain, it’s to our wider environment. When more goods are shipped more often than they need, they use up more valuable resources.

In the supply chain, the only way you can really know what happened is to see what happened. Intelligent Video and AI Services give companies true insight and the ability to lead fact-based improvement initiatives which improve each company’s efforts to become more sustainable.

Innovating where it matters

Intelligent video and AI Services give you the benefits of fact-based visual insights combined with real-time assistance to enable flawless logistics. “We collaborate with cutting-edge technology players in the fields of video, Cloud computing, Edge computing and AI to enable logistics providers to make significant gains throughout their operations,” says Stefan Borg (pictured), CEO at SiB Solutions. “We identified the processes that benefit from flawless logistics and the savings to be made, namely picking, receiving, transport, loading and packing. We see that companies are investing more and more in logistics technologies to become leaner, and especially more sustainable.”

Five steps towards a sustainable supply chain through flawless logistics

Stefan outlines five ways flawless logistics can make a real difference to a company’s sustainability efforts.

1: Leave nothing behind and avoid unnecessary shipments

“Most picking assignments revolve around putting items out of conveyors and into boxes. But it’s easy for items to be left behind,” says Stefan. “By using intelligent video and AI in critical processes it’s possible to verify if the conveyor is empty or not and give operators a window of time to correct a fault.”

2: Check for faults in Human Machine Interaction to improve working conditions
“Hiccups in the way a machine is set up can cause humans to make errors. For instance operators may get delayed information due to seconds of lag. Similarly, there may be something missing or unclear in the interface design. If you visually search for behaviour patterns, you can find them. And come down on the side of humans!”

3: Strive for better fill rates and avoid shipping air
“A simple visual test to measure to what extent a box is filled – and then fill it, makes sure you’re not using fuel to ship air,” says Stefan. “Intelligent Video and AI Services verifies output and gives an opportunity to correct master data used earlier in the process, enabling continuous improvement to optimize fill rates.”

4: Use visual evidence to improve circular goods flows
“One way to achieve circular goods flows is through reusable pallets, but where are they exactly?” Asks Stefan. “RFID scanning lets you know that the pallets have passed a certain checkpoint, but adding visual evidence lets you know exactly where they are, or were, pre-or post scanning, safeguarding the movement of valuable assets – the pallets, or even the goods themselves.

5: Use intelligent video and AI services to cut down resource use
“Energy is scarce, and becoming more so as more people chase fewer resources. Using flawless logistics throughout the supply chain, from guiding operators to put the right goods on the right pallets, to shipping the right goods to cut down on returns, to ensuring goods don’t go missing in transit; all means less use of scarce resources,” comments Stefan.

Flawless logistics isn’t just good for your brand and your bottom line. It’s good for people, and especially good for the planet. Stefan Borg is co-founder and CEO of SiB Solutions, possessing over 30 years’ experience in logistics and energy at management level.

Charter for Decarbonization of Ocean Supply Chain

Posted on by Keith McKinley

Nautilus Labs, a technology partner pioneering the decarbonization of the ocean supply chain, today announced the launch of its new offering, Green Charter™. Green Charter™ uses machine learning-based data streams to implement new legal frameworks within charter party agreements and establishes Nautilus as a trusted, independent, shared source of truth between ship owners and charterers to improve transparency and collaboration. As the foundation of commercial relationships, it will revolutionize incentive structures between counterparties and put the industry on the path to profitable decarbonization.

Legacy charter party agreements are outdated, rigid commercial structures that have remained unchanged over generations, despite quantum leaps in technology. These terms foster misaligned incentives, hinder collaboration, impede efficiency, and create a zero-sum relationship – with financial penalties such as performance claims as the foundation of commercial relationships. Regulations like the Carbon Intensity Indicator (CII) and the EU Emissions Trading System (EU ETS) have only made it more urgent for the shipping industry to address these inefficiencies across the market.

Nautilus’s Green Charter™ transforms legacy charter party agreements by introducing a greener legal framework and unlocking commercial efficiency. As an industry leader in high-frequency data modelling, Nautilus Labs builds machine learning-based virtual replicas of physical ships, known as Digital Twins, to simulate vessel performance and operational outcomes with a high degree of accuracy. Leveraging these Digital Twins as a single source of truth, Green Charter™ generates dynamic optimization recommendations, performance reports, and alerts that are shared to drive collaborative outcomes. The technology will be used to implement new commercial clauses that ensure every action achieves peak efficiency across fleets for increased profitability and reduced emissions for both sides of the charter party – unlocking more dynamic speeds, better vessel performance, and ultimately just-in-time arrival.

Ocean supply chain

“It is time to rethink the frameworks that underpin the owner-charterer dynamic,” says Matt Heider (pictured), CEO, of Nautilus Labs. “Green Charter is set to transform the relationship between owners and charterers by establishing a foundation of trust based on data. Traditionally, Charter Party agreements have been adversarial, lacking positive incentives for maximizing joint outcomes. With sensor data as an unbiased source of truth, Green Charter™ facilitates effective collaboration and alignment among industry leaders, leading to improved performance and accelerated progress towards Net Zero.”

Nautilus Labs is currently working with a number of global maritime companies to reduce their carbon emissions and improve commercial efficiency. The firm lists clients such as TotalEnergies, Eastern Pacific Shipping, BHP, XT Shipping, Gunvor Group, Emirates Shipping Line, Peter Döhle, Log-In Logistica, Diamond Gas International, ICL, Ionic Shipping, and SMT Shipping among others.

Charter for Decarbonization of Ocean Supply Chain

Posted on by David Priestman

Nautilus Labs, a technology partner pioneering the decarbonization of the ocean supply chain, today announced the launch of its new offering, Green Charter™. Green Charter™ uses machine learning-based data streams to implement new legal frameworks within charter party agreements and establishes Nautilus as a trusted, independent, shared source of truth between ship owners and charterers to improve transparency and collaboration. As the foundation of commercial relationships, it will revolutionize incentive structures between counterparties and put the industry on the path to profitable decarbonization.

Legacy charter party agreements are outdated, rigid commercial structures that have remained unchanged over generations, despite quantum leaps in technology. These terms foster misaligned incentives, hinder collaboration, impede efficiency, and create a zero-sum relationship – with financial penalties such as performance claims as the foundation of commercial relationships. Regulations like the Carbon Intensity Indicator (CII) and the EU Emissions Trading System (EU ETS) have only made it more urgent for the shipping industry to address these inefficiencies across the market.

Nautilus’s Green Charter™ transforms legacy charter party agreements by introducing a greener legal framework and unlocking commercial efficiency. As an industry leader in high-frequency data modelling, Nautilus Labs builds machine learning-based virtual replicas of physical ships, known as Digital Twins, to simulate vessel performance and operational outcomes with a high degree of accuracy. Leveraging these Digital Twins as a single source of truth, Green Charter™ generates dynamic optimization recommendations, performance reports, and alerts that are shared to drive collaborative outcomes. The technology will be used to implement new commercial clauses that ensure every action achieves peak efficiency across fleets for increased profitability and reduced emissions for both sides of the charter party – unlocking more dynamic speeds, better vessel performance, and ultimately just-in-time arrival.

Ocean supply chain

“It is time to rethink the frameworks that underpin the owner-charterer dynamic,” says Matt Heider (pictured), CEO, of Nautilus Labs. “Green Charter is set to transform the relationship between owners and charterers by establishing a foundation of trust based on data. Traditionally, Charter Party agreements have been adversarial, lacking positive incentives for maximizing joint outcomes. With sensor data as an unbiased source of truth, Green Charter™ facilitates effective collaboration and alignment among industry leaders, leading to improved performance and accelerated progress towards Net Zero.”

Nautilus Labs is currently working with a number of global maritime companies to reduce their carbon emissions and improve commercial efficiency. The firm lists clients such as TotalEnergies, Eastern Pacific Shipping, BHP, XT Shipping, Gunvor Group, Emirates Shipping Line, Peter Döhle, Log-In Logistica, Diamond Gas International, ICL, Ionic Shipping, and SMT Shipping among others.

Open Access Freight Emissions Calculator

Posted on by David Priestman

Pledge’s Chief Executive Officer (CEO), David de Picciotto, has today announced that the climate-tech company, specialising in technology for freight forwarders, is launching an open-access freight emissions calculator.

Pledge provides freight forwarders with the tools they need to enable their customers to understand, report, and remove their freight emissions. The platform is built with accessibility, transparency, and simplicity at its core.

A prime component of the calculator is Pledge’s Clarity™ feature, which promotes transparency by creating a clear and detailed breakdown of how emissions are calculated at each leg of the shipment journey based on the Global Logistics Emissions Council (GLEC) methodology.

“With rising consumer concerns about corporate greenwashing and the EU’s proposed Green Claims Directive, businesses are demanding better emissions transparency and visibility in their supply chains,” said David de Picciotto, Co-Founder and CEO, Pledge. “We built our freight emissions calculator to show freight forwarders how our platform can deliver value for their supply chain customers in minutes.”

Pledge is accredited by the Smart Freight Centre (SFC) as compliant with the GLEC Framework for global coverage of air, sea, road, rail, inland waterways, and logistics hubs. Its solution is also ISO:14083 aligned, meaning forwarders can have confidence in Pledge’s ability to comply with upcoming regulations that will impact their customers.

“The UK and the EU are starting to mandate the reporting of supply chain emissions, meaning there will be pressure on shippers to calculate and report their emissions in the near future,” said de Picciotto. “Our freight emissions calculator shows freight forwarders how Pledge can help them get ahead of the curve by offering accredited emissions reporting to shippers and other supply chain partners who will be required to meet these regulations.”

The calculator is simple for freight forwarders to get started with and only requires freight origin, destination, and shipment weight to begin calculations. Inputting additional data points such as vessel numbers, carrier codes, and flight numbers will improve routing and subsequent emissions calculation accuracy.

The freight emissions calculator is openly available to use on Pledge’s website here.

Open Access Freight Emissions Calculator

Posted on by David Priestman

Pledge’s Chief Executive Officer (CEO), David de Picciotto, has today announced that the climate-tech company, specialising in technology for freight forwarders, is launching an open-access freight emissions calculator.

Pledge provides freight forwarders with the tools they need to enable their customers to understand, report, and remove their freight emissions. The platform is built with accessibility, transparency, and simplicity at its core.

A prime component of the calculator is Pledge’s Clarity™ feature, which promotes transparency by creating a clear and detailed breakdown of how emissions are calculated at each leg of the shipment journey based on the Global Logistics Emissions Council (GLEC) methodology.

“With rising consumer concerns about corporate greenwashing and the EU’s proposed Green Claims Directive, businesses are demanding better emissions transparency and visibility in their supply chains,” said David de Picciotto, Co-Founder and CEO, Pledge. “We built our freight emissions calculator to show freight forwarders how our platform can deliver value for their supply chain customers in minutes.”

Pledge is accredited by the Smart Freight Centre (SFC) as compliant with the GLEC Framework for global coverage of air, sea, road, rail, inland waterways, and logistics hubs. Its solution is also ISO:14083 aligned, meaning forwarders can have confidence in Pledge’s ability to comply with upcoming regulations that will impact their customers.

“The UK and the EU are starting to mandate the reporting of supply chain emissions, meaning there will be pressure on shippers to calculate and report their emissions in the near future,” said de Picciotto. “Our freight emissions calculator shows freight forwarders how Pledge can help them get ahead of the curve by offering accredited emissions reporting to shippers and other supply chain partners who will be required to meet these regulations.”

The calculator is simple for freight forwarders to get started with and only requires freight origin, destination, and shipment weight to begin calculations. Inputting additional data points such as vessel numbers, carrier codes, and flight numbers will improve routing and subsequent emissions calculation accuracy.

The freight emissions calculator is openly available to use on Pledge’s website here.

IFOY Test Report: Loady by Loady

Posted on by Keith McKinley

In the next of our comprehensive looks at all the IFOY Award finalists ahead of the announcement ceremony in Dortmund on June 22nd, we put the Loady SaaS solution under the microscope.

Loady provides standardised, reliable requirements for loading and unloading at industrial sites for the first time. Trucks are no longer rejected at gates or loading points, because equipment and document to be brought along or processes to be known are communicated reliably and comprehensibly. A higher planning accuracy of transport services means savings of millions of euro to the industry and logistics service providers – and the constant troubleshooting on all sides finally comes to an end. Loady is fundamental to further digitise and automate logistics processes.

IFOY category: Start-up of the Year

IFOY Test Report

Loady is a Software as a Service (SaaS) solution and industry-wide reference source (single source of truth) for loading and unloading requirements that all logistics partners in the supply chain can refer to. For the first time, shippers and consignees can enter all the information and requirements that need to be considered for loading and unloading a truck at their location and for specific products into a standardised data structure.

The software includes a modular data model that can be used for complex, large sites and hazardous goods, as well as smaller and simpler goods deliveries. By assigning transport lanes, data can be shared with business and logistics partners for the respective operational processes. Data changes are tracked in the software, and there is a data history. This means that it is always possible to see which data status was valid at which point in time. Authorised business and logistics partners can be informed directly in the event of changes to relevant data fields. The data is used in the company applications via API, and there is also a mobile, multilingual interface for drivers.

There is no predecessor, just a long-standing breaking point that can be overcome with the software. Loady is the first solution on the market to manage loading and unloading requirements in a structured data model and be a reliable source for all logistics partners. The software is also the first centralised pre-product database.

Loady thus offers a meaningful alternative to free-text fields, in which companies currently try to track their requirements for loading, but also for unloading at their customers, in continuous text format, laboriously and sometimes incorrectly. In SAP, this mainly concerns the fields G12 and G14 in the forwarding orders. The software can also be used to replace manually compiled Excel files for logistics tenders, cleaning requirements and preliminary products.

Loady is relevant for all supply chain companies and their logistics service providers, Europe-wide and globally. This means a market volume of over 60,000 medium to large industrial companies and more than 20,000 logistics service providers worldwide.

IFOY test verdict: Industrial companies and logistics service providers benefit from Loady by providing reliable master data that is used along the processes. Responsibilities for relevant information are clearly defined. This is ensured by established data management roles with clear data governance rules. As a result, the risk of trucks being rejected at the loading or unloading point is also a thing of the past. In this way, the software helps to avoid extra or empty kilometres (reduction of carbon dioxide emissions). The effort required for problem solving, root cause clarification, data maintenance and mutual verification of information is reduced. Relevant changes are automatically communicated to business and logistics partners. This is associated with increased responsiveness, which leads to better understanding among all parties involved. Overcoming language barriers through a multilingual interface with direct translation for data managers, drivers and freight forwarders also contributes to this.

IFOY Innovation Check

Market relevance: Chemovator’s Loady product addresses the enormously important issue of standardised data exchange in the awarding and execution of transport orders in the forwarding environment, both in the industrial and the commercial environment. It thus provides “standardised and reliable requirements for loading and unloading at industrial sites” – undoubtedly a highly relevant problem for an extremely high number of companies today. There is almost no manufacturing company or trading company that is not affected by the issue.

Customer benefit: Standardised data storage and maintenance are already an enormous lever for error prevention. If necessary, this data is then also exchanged automatically and standardised on a case-dependent basis. This eliminates significant causes of errors and significantly increases process reliability. This does not only offer an advantage when all contractual partners of a process use the system, but already when one of the contractual partners has it in use, the first important advantages already become usable, through the then as free text, but nevertheless structured and standardised as well as previously checked provision of the data.

Novelty / Innovation: The problem, which is actually of far-reaching relevance, has simply not been addressed to date; it is the first solution of its kind. The market behaviour regarding the acceptance of data handling has not yet been fully clarified. The usability on the basis of different clients allows the product to be quickly implemented and accepted by users. The standard must be accepted as such by those responsible for the company.

Functionality / Type of implementation: The product is implemented with a convincing architecture, which also provides suitable clients with easy-to-use functionalities for the different user groups. Particularly is the conception, which already makes a significant advantage convertible also with initial few users. This makes a possible successful implementation profitable even in the initial phase for individual customers – a topic that is unfortunately often neglected in many products.

Verdict: At the interface between supply chain and intralogistics, this start-up is positioned in the area of loading. “The future standard” (own statement) offers a structured linking of data to optimise the overall process of freight from tendering to ramp approach. In addition, there is an architecture of applications up to an app for the driver. The challenge here is whether the proposed structure will actually be accepted as a new standard by stakeholders. However, the product can also function on its own, without another company being connected, and then outputs the data as free text, but in an optimised structure.

Market relevance ++
Customer benefit ++
Novelty / Innovation +
Functionality / Type of implementation +
[KEY: ++ very good / + good / Ø balanced / – less / — not present]

IFOY Test Report: Loady by Loady

Posted on by David Priestman

In the next of our comprehensive looks at all the IFOY Award finalists ahead of the announcement ceremony in Dortmund on June 22nd, we put the Loady SaaS solution under the microscope.

Loady provides standardised, reliable requirements for loading and unloading at industrial sites for the first time. Trucks are no longer rejected at gates or loading points, because equipment and document to be brought along or processes to be known are communicated reliably and comprehensibly. A higher planning accuracy of transport services means savings of millions of euro to the industry and logistics service providers – and the constant troubleshooting on all sides finally comes to an end. Loady is fundamental to further digitise and automate logistics processes.

IFOY category: Start-up of the Year

IFOY Test Report

Loady is a Software as a Service (SaaS) solution and industry-wide reference source (single source of truth) for loading and unloading requirements that all logistics partners in the supply chain can refer to. For the first time, shippers and consignees can enter all the information and requirements that need to be considered for loading and unloading a truck at their location and for specific products into a standardised data structure.

The software includes a modular data model that can be used for complex, large sites and hazardous goods, as well as smaller and simpler goods deliveries. By assigning transport lanes, data can be shared with business and logistics partners for the respective operational processes. Data changes are tracked in the software, and there is a data history. This means that it is always possible to see which data status was valid at which point in time. Authorised business and logistics partners can be informed directly in the event of changes to relevant data fields. The data is used in the company applications via API, and there is also a mobile, multilingual interface for drivers.

There is no predecessor, just a long-standing breaking point that can be overcome with the software. Loady is the first solution on the market to manage loading and unloading requirements in a structured data model and be a reliable source for all logistics partners. The software is also the first centralised pre-product database.

Loady thus offers a meaningful alternative to free-text fields, in which companies currently try to track their requirements for loading, but also for unloading at their customers, in continuous text format, laboriously and sometimes incorrectly. In SAP, this mainly concerns the fields G12 and G14 in the forwarding orders. The software can also be used to replace manually compiled Excel files for logistics tenders, cleaning requirements and preliminary products.

Loady is relevant for all supply chain companies and their logistics service providers, Europe-wide and globally. This means a market volume of over 60,000 medium to large industrial companies and more than 20,000 logistics service providers worldwide.

IFOY test verdict: Industrial companies and logistics service providers benefit from Loady by providing reliable master data that is used along the processes. Responsibilities for relevant information are clearly defined. This is ensured by established data management roles with clear data governance rules. As a result, the risk of trucks being rejected at the loading or unloading point is also a thing of the past. In this way, the software helps to avoid extra or empty kilometres (reduction of carbon dioxide emissions). The effort required for problem solving, root cause clarification, data maintenance and mutual verification of information is reduced. Relevant changes are automatically communicated to business and logistics partners. This is associated with increased responsiveness, which leads to better understanding among all parties involved. Overcoming language barriers through a multilingual interface with direct translation for data managers, drivers and freight forwarders also contributes to this.

IFOY Innovation Check

Market relevance: Chemovator’s Loady product addresses the enormously important issue of standardised data exchange in the awarding and execution of transport orders in the forwarding environment, both in the industrial and the commercial environment. It thus provides “standardised and reliable requirements for loading and unloading at industrial sites” – undoubtedly a highly relevant problem for an extremely high number of companies today. There is almost no manufacturing company or trading company that is not affected by the issue.

Customer benefit: Standardised data storage and maintenance are already an enormous lever for error prevention. If necessary, this data is then also exchanged automatically and standardised on a case-dependent basis. This eliminates significant causes of errors and significantly increases process reliability. This does not only offer an advantage when all contractual partners of a process use the system, but already when one of the contractual partners has it in use, the first important advantages already become usable, through the then as free text, but nevertheless structured and standardised as well as previously checked provision of the data.

Novelty / Innovation: The problem, which is actually of far-reaching relevance, has simply not been addressed to date; it is the first solution of its kind. The market behaviour regarding the acceptance of data handling has not yet been fully clarified. The usability on the basis of different clients allows the product to be quickly implemented and accepted by users. The standard must be accepted as such by those responsible for the company.

Functionality / Type of implementation: The product is implemented with a convincing architecture, which also provides suitable clients with easy-to-use functionalities for the different user groups. Particularly is the conception, which already makes a significant advantage convertible also with initial few users. This makes a possible successful implementation profitable even in the initial phase for individual customers – a topic that is unfortunately often neglected in many products.

Verdict: At the interface between supply chain and intralogistics, this start-up is positioned in the area of loading. “The future standard” (own statement) offers a structured linking of data to optimise the overall process of freight from tendering to ramp approach. In addition, there is an architecture of applications up to an app for the driver. The challenge here is whether the proposed structure will actually be accepted as a new standard by stakeholders. However, the product can also function on its own, without another company being connected, and then outputs the data as free text, but in an optimised structure.

Market relevance ++
Customer benefit ++
Novelty / Innovation +
Functionality / Type of implementation +
[KEY: ++ very good / + good / Ø balanced / – less / — not present]

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