Food Distributor
A leading national distributor optimized cold chain logistics with real-time IoT monitoring and predictive analytics—reducing spoilage, streamlining fulfillment, and eliminating manual reporting.
- Time to hire – 3 weeks
- Core team – 1 BA, 1 Delivery Manager, 1 IoT/Data Engineer, 1 Front-end Developer, 1 Back-end Developer, 1 QA
- Duration – Ongoing
- Budget – EUR 600k+
About the company
This national food distributor operates multiple cold storage facilities across Germany. Facing challenges with inventory visibility and coordination, the company partnered with Intelvision to build a centralized dashboard integrating real-time data, predictive alerts, and ERP workflows—transforming warehouse operations.
Project Overview
The German food distributor partnered with Intelvision to build a real-time warehouse dashboard integrated with IoT sensors and ERP systems. The goal was to eliminate manual inventory tracking, reduce spoilage, and improve fulfillment speed across multiple cold storage locations.
Intelvision delivered a centralized platform that continuously monitors temperature, humidity, and stock levels, while enabling predictive restocking and spoilage alerts. This unified dashboard connects operations, logistics, and purchasing teams—providing a single source of truth for warehouse performance.
Through ERP integration, the system also supports automated order processing, real-time reporting, and seamless coordination across facilities. The result: smarter warehouse decisions, fewer errors, and significantly faster delivery workflows.
Challenges and Pains
Lack of Real-Time Inventory Visibility
The client had no live data on inventory, temperature, or humidity across warehouses—leading to frequent stock imbalances and costly spoilage.
Manual Reporting and Human Error
Outdated Excel-based reporting created delays and inaccuracies, making it difficult to maintain consistency and transparency in cold storage operations.
Delayed Order Fulfillment
With no centralized dashboard or coordination between warehouses, order processing was inefficient and often late—impacting service levels.
Need for Predictive and Automated Systems
The absence of predictive tools and automated alerts meant the client couldn’t proactively prevent spoilage or optimize stock levels, leading to revenue loss.
Solution
Intelvision responded by deploying a dedicated cross-functional team in just three weeks, tailored to tackle the client’s warehouse challenges head-on. The initial team included a Business Analyst, Delivery Manager, IoT/Data Engineer, Front-end Developer, Back-end Developer, and QA Engineer. Together, they built and launched a robust warehouse dashboard integrated with IoT sensors and ERP workflows.
- Real-Time Data Visibility: The platform enabled continuous monitoring of temperature, humidity, and stock levels across all cold storage facilities.
- Predictive Automation: Custom alerts and analytics helped prevent spoilage and enabled smarter, faster restocking decisions.
- Seamless ERP Integration: Automated order processing and reporting replaced manual Excel sheets, improving accuracy and fulfillment speed.
- End-to-End Delivery: Intelvision managed the full development cycle—team onboarding, project execution, and scaling—allowing the client to focus entirely on operational outcomes.
