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style=\"background-color:rgb(255,255,255);color:rgb(82,84,100);\">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 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Finfofarm.be\u002F\">\u003Cu>InfoFarm\u003C\u002Fu>\u003C\u002Fa>\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(82,84,100);\"> ging aan de slag en ontwikkelde een innovatief AI-platform.\u003C\u002Fspan>\u003C\u002Fp>","light",{"__typename":697,"typeHandle":698,"uid":703,"title":704,"richText":705,"backgroundColor":701},"067bf8a9-ea66-4f99-bb2c-cf15d1925670","Uitdagingen","\u003Cp>\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(82,84,100);\">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.\u003C\u002Fspan>\u003C\u002Fp>",{"__typename":697,"typeHandle":698,"uid":707,"title":708,"richText":709,"backgroundColor":701},"03a8e61e-34f9-45a2-8b60-9524e22dfb89","De introductie van een AI-platform","\u003Cp style=\"margin-left:0px;\">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.\u003C\u002Fp>\u003Cp style=\"margin-left:0px;\">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%!\u003C\u002Fp>\u003Cp style=\"margin-left:0px;\">\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(82,84,100);\">Dit maakt het mogelijk om niet alleen de voorraadniveaus beter \u003C\u002Fspan>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.\u003C\u002Fp>\u003Cp style=\"margin-left:0px;\">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.\u003C\u002Fp>\u003Cp style=\"margin-left:0px;\">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.\u003C\u002Fp>",{"__typename":697,"typeHandle":698,"uid":711,"title":712,"richText":713,"backgroundColor":701},"73038880-e273-4c88-8649-76e9c54c2a48","Een toekomstbestendige aanpak","\u003Cp style=\"margin-left:0px;\">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.\u003C\u002Fp>\u003Cp style=\"margin-left:0px;\">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.\u003C\u002Fp>",{"__typename":697,"typeHandle":698,"uid":715,"title":13,"richText":716,"backgroundColor":701},"aaf191f5-5df4-4934-82cd-8621bafac306","\u003Ch3>\u003Cstrong>Xploration\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"margin-left:0px;\">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.\u003C\u002Fp>\u003Ch3>\u003Cstrong>Onze oplossing\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"margin-left:0px;\">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.\u003C\u002Fp>\u003Ch3>\u003Cstrong>Resultaat\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp style=\"margin-left:0px;\">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.\u003C\u002Fp>",{"__typename":718,"html":719},"postContent_CkeditorField","\u003Cdiv class=\"elementor-section\">\u003Cdiv class=\"elementor-column\" data-column-size=\"100\">\u003Cp> \u003C\u002Fp>\n\u003Cp>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 \u003Ca href=\"https:\u002F\u002Finfofarm.be\u002F\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"text-decoration: underline;\">InfoFarm\u003C\u002Fspan>\u003C\u002Fa> ging aan de slag en ontwikkelde een innovatief AI-platform.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch4>\u003Cstrong>Uitdagingen\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>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.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cdiv class=\"elementor-section\">\u003Cdiv class=\"elementor-column\" data-column-size=\"50\">\u003Ch4>\u003Cstrong>De introductie van een AI-platform\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>Om deze uitdagingen het hoofd te bieden, besloot Eduards\u003C\u002Fp>\u003Cp>Trailer Factory te investeren in een geavanceerde oplossing:\u003C\u002Fp>\u003Cp>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.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>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\u003C\u002Fp>\u003Cp>3000 AI-modellen die voorspellingen genereren voor elk item, met een gemiddelde foutmarge van slechts 2,06%!\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Dit maakt het mogelijk om niet alleen de voorraadniveaus beter\u003C\u002Fp>\n\u003C\u002Fdiv>\u003Cdiv class=\"elementor-column\" data-column-size=\"50\">\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cp>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.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>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.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Daarnaast biedt het platform waardevolle inzichten in de factoren die de vraag beïnvloeden. Denk hierbij aan seizoensgebonden trends of regionale verschillen. 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Dit leidt tot lagere kosten, minder over- en ondervoorraad en een verbeterde naleving van snelle levertijden.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch4>\u003Cstrong>Resultaat\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>Het AI-platform heeft geleid tot nauwkeurigere vraagvoorspellingen, waardoor Eduards Trailer Factory hun voorraadbeheer heeft geoptimaliseerd en de operationele kosten heeft verlaagd. 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