Logistics Supplier Automates Inventory and Bill of Materials for Enhanced Production

Redline Systems, a trusted conveyor supplier in the logistics and supply chain sector, faced significant operational hurdles due to a manual and fragmented inventory management system. Their existing processes for tracking materials and managing bills of materials led to production delays and inaccurate forecasting. By implementing Sheetgo, the company successfully automated its inventory workflows, gaining real-time visibility into material stock, streamlining material allocation for manufacturing orders, and ensuring consistent production.

Redline Systems struggled with a time-consuming and error-prone manual process for managing inventory and bills of materials. Their existing system relied on inconsistent master spreadsheets, making it difficult to track scrap materials, allocate inventory accurately to manufacturing orders, and prevent unexpected material shortages. This lack of real-time visibility directly impacted production schedules, led to delays, and hindered their ability to forecast demand and procure materials efficiently. Furthermore, their accounting system lacked the necessary integration to support a streamlined inventory management workflow.

Sheetgo provided Redline Systems with a comprehensive solution to automate their inventory and bill of materials management. The platform enabled the creation of structured product kits and clearly defined bills of materials, automatically calculating the precise raw material quantities required for each manufacturing order. A digital checkout system was implemented to accurately track physical material usage, linking it directly to ongoing production orders and facilitating real-time inventory adjustments. To further enhance efficiency, barcode scanning capabilities were integrated for swift and accurate material tracking. Automated notifications were set up to alert the team when stock levels reached predefined minimum thresholds, preventing potential shortages. This automated ecosystem effectively eliminated manual data entry, drastically reduced errors, and provided immediate, accurate visibility into inventory levels, which in turn enabled more precise demand forecasting and timely material procurement.