National Retail Chain Digital Procurement Transformation

The customer is a national food and daily-goods chain with more than 300 stores and a mix of regional and central distribution centers. Store orders, promotional stock-ups, and HQ centralized buying overlapped; demand was often passed through Excel and messaging apps, leaving HQ with limited real-time visibility into regional inventory and in-transit goods.

Business challenges

• Demand consolidation lagged, causing stockouts or overstocking during promotions.
• Many suppliers with differing contract and payment terms created heavy reconciliation workload.
• Frequent store openings and closures made supplier master data and delivery zones costly to maintain.

Solution

The company used Tender AI to run requisition, sourcing, order, and reconciliation in one workflow: stores and regions submitted demand within permissions; HQ consolidated and negotiated from platform data; suppliers confirmed delivery and price changes in the portal; spend analytics dashboards broke down spend by category, region, and store to inform category strategy.

Implementation highlights

Pilot stores in two regions went live first to validate assortment and delivery rules before national rollout; integration with the existing ERP reduced double entry for orders and master data. Training emphasized “less typing, more template reuse” for store managers and regional buyers.

Measurable outcomes

• Procurement-related productivity improved approximately 65% (measured by order processing and reconciliation hours).
• HQ consolidation and order splitting dropped from days to hours.
• Stockout rates and near-expiry waste trended down in pilot regions during promotions.

Note: Figures reflect a composite of typical customer scenarios; actual results vary by scale and category mix.