--- title: "Manufacturing & Logistics" date: 2025-09-08T15:10:00+02:00 author: Administrator canonical_url: "https://www.xploregroup.be/en/industries/manufacturing-logistics" section: Industries --- # Manufacturing & Logistics Manufacturing & Logistics Xplore Group has extensive knowledge in manufacturing and logistics and understands the specific challenges and opportunities it faces. By leveraging advanced technologies such as AI, cloud solutions, automation and data analytics, Xplore Group delivers customised solutions that streamline operations, improve data flexibility and increase operational efficiency. We help companies achieve new levels of productivity and competitiveness. ![LM2 from Xplore Group](https://cdn.craft.cloud/5fa59528-9049-4864-a4f2-a0667591b3bd/assets/img/LM2-from-Xplore-Group.png) ## Why digitalisation is important in manufacturing and logistics Digitalisation and technology are transforming the manufacturing and logistics industry, solving critical challenges by improving efficiency, visibility and decision-making. ### End-to-end data visibility Implementing digital solutions such as cloud-based platforms and integrated data lakes can provide **real-time visibility** throughout the supply chain, improving agility and decision-making. ### Data & AI-driven insights The use of **predictive analytics** can optimise inventory management, demand forecasting and production planning. AI-driven systems automate routine tasks, reducing human error and operational costs. ### Improved compliance and quality control The implementation of AI-driven systems for quality control and compliance management for regulations ### Customer experience and engagement Using **advanced CRM solutions** can improve customer interactions and satisfaction, and create a seamless experience across all channels. ## Challenges The manufacturing and logistics industry face many challenges caused by increasing **demand for operational efficiency**, **changing customer expectations** and the need for **real-time data-driven insights.** Companies struggle with **complex logistics processes**, **inefficient legacy systems** and the **difficulty of integrating data across platforms**. Rapid technological advances are forcing organisations to adapt, because if not, they risk being left behind by competition. ![](https://cdn.craft.cloud/5fa59528-9049-4864-a4f2-a0667591b3bd/assets/img/LM3-from-Xplore-Group.png) ## Our solutions We offer tailor-made solutions designed to meet the specific needs of the manufacturing and logistics sector. All our services can be found on our website, but specifically interesting to this industry: - [**Digital strategy & transformation**](https://www.xploregroup.be/en/services/digital-strategy): Tailor-made digital strategies for seamless business optimisation across departments. - [**Data & AI solutions:**](https://www.xploregroup.be/en/services/data-ai) Leveraging AI and advanced analytics for predictive maintenance, quality control and demand forecasting. - **Supply chain optimisation**: Implement analytics solutions for real-time supply chain visibility. - [**ERP**](https://www.xploregroup.be/en/services/erp/) & [**integration services**](https://www.xploregroup.be/en/services/integrations/): Customised ERP systems and platform integrations for streamlined, efficient operations. - **Customer experience solutions**: Creating personalised, digital experiences that increase customer satisfaction in B2B, B2C or B2B2C environments. By investing in digitalisation, manufacturing and logistics companies can not only **improve their operational efficiency**, but also **increase their competitiveness** and achieve **higher customer satisfaction**. It is a strategic move that shapes the future of the manufacturing & logistics sector and enables companies to adapt to the ever-changing demands of the market. ![](https://cdn.craft.cloud/5fa59528-9049-4864-a4f2-a0667591b3bd/assets/img/Image-from-Xplore-Group.jpg) ## Contact us Contact us today and discover how we can help transform your organisation with the power of technology. ## Gerelateerde cases ### An innovative digital customer portal for Huisman #### Composable Commerce #### Technologie & Platformen #### Huisman 2022 & ongoing #### Fenego [www.fenego.be/nl/](https://www.fenego.be/nl/) An innovative digital customer portal for Huisman ![Huisman](https://cdn.craft.cloud/5fa59528-9049-4864-a4f2-a0667591b3bd/assets/img/Huisman.webp) ![Video Background](https://cdn.craft.cloud/5fa59528-9049-4864-a4f2-a0667591b3bd/assets/img/Video-Background.jpg) Huisman, a global leader in heavy construction equipment such as cranes, offshore wind lifting systems and pipelay installations, is known for its innovative character. In order to support their international customers even better and simplify complex processes, the company took an ambitious step towards digitalization in 2022: the development of a fully digital customer portal. Fenego was chosen as the implementation partner, in collaboration with the Intershop Commerce Platform. #### The start: digitalisation as a strategic pillar For years, Huisman customers placed technically complex orders by telephone or e-mail. The need for efficiency, transparency and scalability led to the desire for a digital portal that would streamline these processes. During an intensive analysis and workshop phase, Fenego and Huisman translated the needs of users into a solid digital architecture, based on Intershop and supplemented with modern PWA technology. The result was the launch of **myHuisman©**, an intuitive and future-oriented digital portal consisting of three pillars: During the implementation, an agile Scrum methodology was used, including frequent demos and a full DTAP street. This allowed risks to be mitigated and functionalities to be quickly refined. **The result:** a successful go-live, enthusiastic customers and more efficient internal workflows. The portal grew into a strategic part of Huisman's services. #### The next step: optimization and redesign With a solid foundation in place, Huisman identified new opportunities in 2025 to further improve the user experience. Customers wanted faster access to functionalities such as RFPs, approval processes and technical documentation. Internally, there was also a need for a platform that is flexible enough to grow with future digital innovations. **Key optimizations** - **Improved saved shopping cart**: Orders can be saved, managed, and reused more easily. - **Smart ticketing linked to the knowledge base**: Support requests are processed faster and handled more relevantly. - **Advanced equipment selector**: Customers find the right parts and documentation faster thanks to intelligent filtering based on their equipment. - **Optimized search functionality**: Both within the shop, the documentation and the service environment, searching becomes faster, smarter and more specific. These improvements ensure that both customers and internal teams find their way around the platform faster and processes run more efficiently. #### The combined result: a powerful, scalable and customer-centric platform The combined result is a powerful and future-proof digital platform that centralizes the entire interaction between Huisman and its customers. Where complex orders and questions used to be done by phone and e-mail, myHuisman now offers one clear environment in which customers can easily order parts, find documentation and submit support requests. Smart features like the advanced equipment selector and enhanced search capabilities help users find exactly what they need faster. The portal also provides great benefits internally. Integration with systems like Zendesk allows teams to handle inquiries more efficiently and tighten customer communications. The more modern interface and optimized workflows contribute to higher satisfaction for both customers and employees. In this way, myHuisman has grown into a stable, scalable and user-friendly platform that strengthens Huisman's services and is ready to grow with future digital ambitions. 11918 An Innovative Digital Customer Portal for Huisman #### In a world where technology constantly evolves, Huisman, a leading player in the maritime sector, has embraced the power of digital transformation. With the expertise of competence center [Fenego](https://www.fenego.be/), they have charted a new course in customer service, where efficiency and customer engagement are at the forefront. Based in Rotterdam, Huisman is a global leader in constructing impressive maritime installations. To optimize their service delivery, they recognized the need to **digitize their customer service**. Fenego, known for their technical know-how and experience, was chosen as the ideal partner for this journey. Together with [Intershop](https://www.intershop.com/en/), due to **its scalability and flexibility**, they created a solution that perfectly meets Huisman's needs. With Fenego's streamlined approach, utilizing an **OTAP environment** and **Intershop Commerce as a Service (CaaS)**, the portal was efficiently developed and launched. #### **Xploration** The maritime sector feels the pressure of digitalization. Huisman wanted to move away from traditional methods such as phone orders and sought a partner to assist them in this digital transformation. #### **Our Solution** Fenego developed the [myHuisman© platform](https://www.huismanequipment.com/nl/services/myhuisman), consisting of three digital products: a shop for spare parts, a service section for ticketing via Zendesk, and a technical library. After a thorough analysis phase, where Huisman's wishes and needs were recorded, the portal was built step by step using an agile scrum methodology. #### **Integration** - **Platform:** Intershop Commerce - **Methodology:** Agile Scrum - **Ticketing:** Zendesk - **Environment:** OTAP in combination with Intershop Commerce as a Service (CaaS) #### **Result** The new portal was positively received by both Huisman's customers and employees. Customers appreciate the user-friendliness and efficiency, while Huisman employees benefit from streamlined workflows. With this portal, Huisman has become not only more efficient but also future proof. Looking for more information? Find our more [here](https://www.fenego.be/en/cases/huisman/). ### 5G, AI and IoT enable location management at ADR terminals #### Artificial Intelligence #### Data & AI #### Innovation #### Van Moer Logistics ![Van Moer](https://cdn.craft.cloud/5fa59528-9049-4864-a4f2-a0667591b3bd/assets/img/Van-Moer_2025-10-21-091555_wcjf.png) We provided Van Moer Logistics with real-time insight into the location of thousands of containers through a smart combination of 5G, AI, and IoT. The result: greater safety, efficiency, and control at Europe's largest tank container terminal. ![Van Moer](https://cdn.craft.cloud/5fa59528-9049-4864-a4f2-a0667591b3bd/assets/img/Van-Moer_2025-10-21-091555_wcjf.png) 2025 #### InfoFarm [infofarm.be](https://infofarm.be/) #### Cloudway [www.cloudway.be](https://www.cloudway.be/) #### Unlock'd [unlockd.be](https://unlockd.be/) 5G, AI and IoT enable location management at ADR terminals ![Van Moer](https://cdn.craft.cloud/5fa59528-9049-4864-a4f2-a0667591b3bd/assets/img/Van-Moer.png) #### From unclear container locations to real-time insight In an industry where safety, precision and speed are crucial, Van Moer Logistics was looking for a way to drastically improve the management of dangerous goods at their container terminal. As the operator of the largest tank container terminal in the Hamburg – Le Havre range, Van Moer Logistics manages **an average of 1,250 container movements every day**, spread over three terminal sites. On peak days, they process up to 1,350 trucks. Within this complex logistics ecosystem, it turned out to be difficult in practice to always know exactly where each tank container was located. This not only led to reduced efficiency, but also increased the risk of dangerous situations, especially given the chemical and flammable nature of the stored cargoes. The European Seveso Directive requires terminal operators to **be able to demonstrate the exact location of each tank of hazardous substances at all times**. In reality, however, it turned out that at busy terminals between 10% and exceptionally even 60% of the containers were not in their correct location. After all, a container that is dropped off in the wrong place sets off a chain reaction in which other containers are also placed incorrectly, with the result that operators lose time searching or manually correcting. The impact of this extends beyond operational delay: in an ADR environment, any form of uncertainty equals potential danger. #### A powerful consortium with one goal To solve this problem, an innovative project was started in which four parties brought together their expertise. **Van Moer Logistics** took on the role of project leader and worked together with the [**Cronos Group**](https://cronos-groep.be/) – with its deep knowledge of Industry 4.0 applications –, telecom operator **Proximus** – responsible for the 5G network – and the **University of Antwerp** – which contributed its unique knowledge of innovative technologies to the port. The common goal was ambitious, but clear: to develop a system that allows the location of each tank container at the terminal to be determined with real-time precision and this information to be continuously processed, secured and integrated with existing systems. That system had to be based on the latest technologies: **5G connectivity, artificial intelligence (AI) and the Internet of Things (IoT).** #### From Proof of Concept to smart stackers After a brief technical evaluation of different methods for determining container locations, we opted for a setup with a **stereo camera** that both captures images and measures the distance to each object. The recordings are processed in real time by a custom-developed AI model that first recognizes containers and then reads the unique container ID with OCR. In combination with the highly accurate GPS data from the accompanying antenna, we can continuously calculate where each container is in relation to the stacker – the vehicle that moves containers. Because containers are often stacked on top of each other and therefore share the same GPS coordinates, an additional algorithm was built in for each video frame that determines the **stack level** . This means that we not only have **latitude and longitude**, but also the **exact height position** of each container. A key challenge here is the **huge data volume**: to reduce data transmission costs and save the stacker battery, the AI model runs locally on an edge device (an NVIDIA Jetson) and we only send the processed results via 5G to our cloud platform. This required careful optimization of performance and power management. For the realization, we bundled the expertise within Xplore Group: OnEdge provided the hardware integration, [InfoFarm](https://infofarm.be/) developed and trained the AI model, [Cloudway](https://www.cloudway.be/) built the scalable cloud platform and [Unlock'd](https://unlockd.be/) provided a multi-device front-end that gives operators and yard managers insight into the current position of each container at a glance. With all these competencies, we were able to turn the proof of concept into a completely working end-to-end solution. #### Why 5G makes a difference What sets this project apart from previous attempts is the crucial role of 5G. The technology not only provides the bandwidth and reliability needed for real-time communication, but also enables highly granular, stable connectivity across the entire site through techniques such as Massive MIMO, beamforming and slicing. In combination with a private APN, a fully secure and isolated network was set up that is only accessible to the customer's devices. Where traditional networks often struggle with large amounts of simultaneous connections or signal pollution on large industrial sites, 5G proved its worth as a **robust and high-performance backbone** for this application. #### Concrete result: more control, less costs The results did not lie. Within three weeks, the system was able **to correctly locate 70% of all containers**, with an overall detection rate of 96%. In time, the system will support the monitoring of up to 40,000 containers per day. In operational terms, this meant an **average time saving of 33 minutes per shift** for the stacker operators. These efficiency gains translate directly into cost savings on labour, fuel and stacker rental. #### Industry-wide scalable The project proves that what was an ambitious vision of the future for years is achievable today thanks to the combination of 5G, AI and IoT. Although the technology was developed with the complex ADR context as a starting point, it can be **used in a wide range of ways**. Think of other container terminals, distribution centers, logistics hubs or even indoor warehouse environments and retail spaces. Wherever object location, real-time data insight and security have to go hand in hand, this solution offers new perspectives. What started as a proof of concept on a single stacker has now grown into a scalable and reusable solution that fully harnesses the power of 5G and is ready for wider adoption inside and outside the port world. 24059 5G, AI and IoT enable location management at ADR terminals **From unclear container locations to real-time insight** In an industry where safety, precision and speed are crucial, Van Moer Logistics was looking for a way to drastically improve the management of dangerous goods at their container terminal. As the operator of the largest tank container terminal in the Hamburg – Le Havre range, Van Moer Logistics manages **an average of 1,250 container movements every day**, spread over three terminal sites. On peak days, they process up to 1,350 trucks. Within this complex logistics ecosystem, it turned out to be difficult in practice to always know exactly where each tank container was located. This not only led to reduced efficiency, but also increased the risk of dangerous situations, especially given the chemical and flammable nature of the stored cargoes. The European Seveso Directive requires terminal operators to **be able to demonstrate the exact location of each tank of hazardous substances at all times**. In reality, however, it turned out that at busy terminals between 10% and exceptionally even 60% of the containers were not in their correct location. After all, a container that is dropped off in the wrong place sets off a chain reaction in which other containers are also placed incorrectly, with the result that operators lose time searching or manually correcting. The impact of this extends beyond operational delay: in an ADR environment, any form of uncertainty equals potential danger. **A powerful consortium with one goal** To solve this problem, an innovative project was started in which four parties brought together their expertise. **Van Moer Logistics** took on the role of project leader and worked together with the [**Cronos Group**](https://cronos-groep.be/) – with its deep knowledge of Industry 4.0 applications –, telecom operator **Proximus** – responsible for the 5G network – and the **University of Antwerp** – which contributed its unique knowledge of innovative technologies to the port. The common goal was ambitious, but clear: to develop a system that allows the location of each tank container at the terminal to be determined with real-time precision and this information to be continuously processed, secured and integrated with existing systems. That system had to be based on the latest technologies: **5G connectivity, artificial intelligence (AI) and the Internet of Things (IoT).** **From Proof of Concept to smart stackers** After a brief technical evaluation of different methods for determining container locations, we opted for a setup with a **stereo camera** that both captures images and measures the distance to each object. The recordings are processed in real time by a custom-developed AI model that first recognizes containers and then reads the unique container ID with OCR. In combination with the highly accurate GPS data from the accompanying antenna, we can continuously calculate where each container is in relation to the stacker – the vehicle that moves containers. Because containers are often stacked on top of each other and therefore share the same GPS coordinates, an additional algorithm was built in for each video frame that determines the **stack level** . This means that we not only have **latitude and longitude**, but also the **exact height position** of each container. A key challenge here is the **huge data volume**: to reduce data transmission costs and save the stacker battery, the AI model runs locally on an edge device (an NVIDIA Jetson) and we only send the processed results via 5G to our cloud platform. This required careful optimization of performance and power management. For the realization, we bundled the expertise within Xplore Group: OnEdge provided the hardware integration, [InfoFarm](https://infofarm.be/) developed and trained the AI model, [Cloudway](https://www.cloudway.be/) built the scalable cloud platform and [Unlock'd](https://unlockd.be/) provided a multi-device front-end that gives operators and yard managers insight into the current position of each container at a glance. With all these competencies, we were able to turn the proof of concept into a completely working end-to-end solution. **Why 5G makes a difference** What sets this project apart from previous attempts is the crucial role of 5G. The technology not only provides the bandwidth and reliability needed for real-time communication, but also enables highly granular, stable connectivity across the entire site through techniques such as Massive MIMO, beamforming and slicing. In combination with a private APN, a fully secure and isolated network was set up that is only accessible to the customer's devices. Where traditional networks often struggle with large amounts of simultaneous connections or signal pollution on large industrial sites, 5G proved its worth as a **robust and high-performance backbone** for this application. **Concrete result: more control, less costs** The results did not lie. Within three weeks, the system was able **to correctly locate 70% of all containers**, with an overall detection rate of 96%. In time, the system will support the monitoring of up to 40,000 containers per day. In operational terms, this meant an **average time saving of 33 minutes per shift** for the stacker operators. These efficiency gains translate directly into cost savings on labour, fuel and stacker rental. **Industry-wide scalable** The project proves that what was an ambitious vision of the future for years is achievable today thanks to the combination of 5G, AI and IoT. Although the technology was developed with the complex ADR context as a starting point, it can be **used in a wide range of ways**. Think of other container terminals, distribution centers, logistics hubs or even indoor warehouse environments and retail spaces. Wherever object location, real-time data insight and security have to go hand in hand, this solution offers new perspectives. What started as a proof of concept on a single stacker has now grown into a scalable and reusable solution that fully harnesses the power of 5G and is ready for wider adoption inside and outside the port world. ### Smart demand forecasting with AI at Eduards Trailer Factory #### Innovation #### Artificial Intelligence #### Eduards Trailer Factory 2025 #### InfoFarm [infofarm.be](https://infofarm.be/) Smart demand forecasting with AI at Eduards Trailer Factory ![Mediabibliotheek dsc04234 edit jpg](https://cdn.craft.cloud/5fa59528-9049-4864-a4f2-a0667591b3bd/assets/img/Mediabibliotheek-dsc04234-edit.jpg.webp) Eduards Trailer Factory is a major player in the trailer market. With a wide range of products - from tilting models to car transporters - they serve both private and professional customers through a dealer network spread across Northern, Western, and Eastern Europe. Their business model is based on assembly: components such as wheels and frames are purchased separately and then assembled into finished products in their production facilities. However, this approach presents several operational challenges. Competence center InfoFarm took the initiative and developed an innovative AI platform. #### Challenges The most pressing challenge for Eduards Trailer Factory lies in managing delivery times. Customers expect their trailers within eight business days, but the components required for assembly sometimes have a lead time of eight to ten weeks. This necessitates extensive planning, which is further complicated by the wide product range of over 3,000 items. Until recently, demand forecasting was done using Excel. This method was time-consuming and offered insufficient insight into future trends, leading to inefficient inventory management and the risk of both overstock and understock. #### The introduction of an AI platform To address these challenges, Eduards Trailer Factory decided to invest in a cutting-edge solution: a Fabric-based AI platform integrated with their existing ERP system, Microsoft Business Central. This platform collects and processes large amounts of data, including order history, dealer information, price fluctuations, and market trends. Combining this data creates a powerful foundation for training a machine learning model. The model is specifically designed to forecast demand, both short-term (the next 8 weeks) and long-term (up to 12 months). The result? A collection of 3,000 AI models generating forecasts for every item, with an average margin of error of only 2.06%! This not only allows inventory levels to better align with expected demand but also to schedule production more efficiently. By integrating these forecasts into their operational processes, Eduards Trailer Factory can ensure the right components are available at the right time, without holding unnecessary inventory. The results were quickly noticeable. The new AI platform delivered objective and accurate forecasts, improving inventory management. Where previously too many or too few components were often ordered, there is now an optimal balance. This has not only reduced operational costs but also strengthened Eduards Trailer Factory's ability to deliver on its promise of fast delivery times. Furthermore, the platform provides valuable insights into the factors that influence demand, such as seasonal trends and regional variations. These insights not only help with better inventory and production planning but also support strategic decisions at the company level. #### A future-proof approach The AI platform has helped Eduards Trailer Factory strengthen its competitive position in a stagnant market. By operating more efficiently while simultaneously increasing customer satisfaction, they not only better served existing customers but also capitalized on new growth opportunities. This transformation demonstrates how technology, and specifically AI, can play a decisive role in solving complex logistics challenges and creating distinctive added value for customers. With this smart approach, Eduards Trailer Factory has implemented a future-proof solution that not only addresses their current challenges but also prepares them for further growth and innovation in the manufacturing industry. ### **Xploration** Eduards Trailer Factory struggled to accurately forecast demand, making inventory management and production planning difficult due to long component lead times and a wide product range. ### **Our solution** InfoFarm integrated an AI platform with their ERP system, enabling Eduards Trailer Factory to create accurate demand forecasts, making inventory management and production planning more efficient. This leads to lower costs, reduced overstock and understock, and improved adherence to fast delivery times. ### **Results** The AI platform has led to more accurate demand forecasts, allowing Eduards Trailer Factory to optimize their inventory management and reduce operational costs. This has resulted in more efficient production planning, reduced overstock and understock, and improved customer satisfaction. 23532 Slimme vraagvoorspelling met AI bij Eduards Trailer Factory Eduards Trailer Factory is een belangrijke speler in de markt van aanhangwagens. Met een uitgebreid assortiment – van kantelbare modellen tot autotransporters – bedienen ze zowel particuliere als professionele klanten via een dealernetwerk verspreid over Noord-, West- en Oost-Europa. Hun bedrijfsmodel is gebaseerd op assemblage: componenten zoals wielen en frames worden afzonderlijk ingekocht, waarna ze in hun productiefaciliteiten worden samengesteld tot de eindproducten. Deze werkwijze brengt echter een aantal operationele uitdagingen met zich mee. Compentence center [InfoFarm](https://infofarm.be/) ging aan de slag en ontwikkelde een innovatief AI-platform. #### **Uitdagingen** De meest urgente uitdaging voor Eduards Trailer Factory ligt in het managen van levertijden. Klanten verwachten hun aanhangwagen binnen 8 werkdagen, maar de componenten die nodig zijn voor assemblage hebben soms een levertijd van 8 tot 10 weken. Dit maakt het noodzakelijk om ver vooruit te plannen, wat extra gecompliceerd wordt door het brede productgamma van meer dan 3000 artikelen. Tot voor kort gebeurde de vraagvoorspelling met behulp van Excel. Deze methode was tijdrovend en bood onvoldoende inzicht in toekomstige trends, wat leidde tot inefficiënt voorraadbeheer en risico’s op zowel over- als ondervoorraad. #### **De introductie van een AI-platform** Om deze uitdagingen het hoofd te bieden, besloot Eduards Trailer Factory te investeren in een geavanceerde oplossing: een Fabric-based AI-platform dat geïntegreerd werd met hun bestaande ERP-systeem, Microsoft Business Central. Dit platform verzamelt en verwerkt grote hoeveelheden data, waaronder orderhistoriek, informatie over dealers, prijsschommelingen en markttrends. Door deze data te combineren, ontstaat een krachtige basis voor het trainen van een machine learning-model. Het model is specifiek ontworpen om vraagvoorspellingen te doen, zowel op korte termijn (de komende 8 weken) als op lange termijn (tot 12 maanden). Het resultaat? Een verzameling van 3000 AI-modellen die voorspellingen genereren voor elk item, met een gemiddelde foutmarge van slechts 2,06%! Dit maakt het mogelijk om niet alleen de voorraadniveaus beter af te stemmen op de verwachte vraag, maar ook om de productieplanning efficiënter in te richten. Door de voorspellingen te integreren in hun operationele processen, kan Eduards Trailer Factory ervoor zorgen dat de juiste componenten op het juiste moment beschikbaar zijn, zonder onnodige voorraden aan te houden. De resultaten waren al snel merkbaar. Het nieuwe AI-platform leverde objectieve en nauwkeurige voorspellingen op, waardoor het voorraadbeheer verbeterde. Waar voorheen vaak te veel of te weinig componenten werden besteld, is er nu sprake van een optimale balans. Dit heeft niet alleen de operationele kosten verlaagd, maar ook het vermogen van Eduards Trailer Factory versterkt om hun belofte van snelle levertijden na te komen. Daarnaast biedt het platform waardevolle inzichten in de factoren die de vraag beïnvloeden. Denk hierbij aan seizoensgebonden trends of regionale verschillen. Deze inzichten helpen niet alleen bij het maken van betere voorraad- en productieplanningen, maar ondersteunen ook strategische beslissingen op bedrijfsniveau. #### **Een toekomstbestendige aanpak** Het AI-platform heeft Eduards Trailer Factory geholpen om hun concurrentiepositie in een stagnerende markt te versterken. Door efficiënter te werken en tegelijkertijd de klanttevredenheid te verhogen, hebben ze niet alleen bestaande klanten beter bediend, maar ook nieuwe groeikansen kunnen benutten. Deze transformatie toont hoe technologie, en specifiek AI, een doorslaggevende rol kan spelen in het oplossen van complexe logistieke uitdagingen en het creëren van een onderscheidende meerwaarde voor klanten. Met deze slimme aanpak heeft Eduards Trailer Factory een toekomstbestendige oplossing geïmplementeerd die niet alleen hun huidige uitdagingen aanpakt, maar hen ook voorbereidt op verdere groei en innovatie in de maakindustrie. #### **Xploration** Eduards Trailer Factory had moeite met het nauwkeurig voorspellen van de vraag, waardoor voorraadbeheer en productieplanning werden bemoeilijkt door lange levertijden van componenten en een breed productgamma. #### **Onze oplossing** InfoFarm integreerde een AI-platform met hun ERP-systeem waarmee Eduards Trailer Factory nu nauwkeurige vraagvoorspellingen kan maken, waardoor voorraadbeheer en productieplanning efficiënter worden. Dit leidt tot lagere kosten, minder over- en ondervoorraad en een verbeterde naleving van snelle levertijden. #### **Resultaat** Het AI-platform heeft geleid tot nauwkeurigere vraagvoorspellingen, waardoor Eduards Trailer Factory hun voorraadbeheer heeft geoptimaliseerd en de operationele kosten heeft verlaagd. Dit resulteerde in een efficiëntere productieplanning, minder over- en ondervoorraad en een verbeterde klanttevredenheid.