Smarter Grocery Ordering Targets Waste and Lost Sales

About our client

The client is a regional grocery chain managing seasonal, promotional, and forward buying across its stores. Its buying teams plan quantities in the units products are sold, while vendors ship in different pack sizes. Accurate ordering is central to keeping shelves stocked during promotions and limiting excess inventory.

Challenge

The grocery chain managed seasonal, promotional, and forward buys through spreadsheets, email, and two disconnected legacy systems. Planning and submitting orders required work across these separate tools, leaving buyers without a single workflow for the full purchasing cycle.

Buyers also had to translate store needs into vendor order quantities by hand. Products planned in pounds needed to be converted into cases using the appropriate pack sizes. These calculations added manual work to an already fragmented process.

The consequences reached store shelves. Over-ordering created waste and markdowns, while under-ordering left shelves empty during promotions. The chain needed a more accurate way to translate purchasing plans into vendor orders and identify quantity problems before submission.

Solution

Technology Partners built one ordering platform for the full buying cycle. Teams can plan a buy, survey stores, review and approve quantities, and submit orders to vendors within the same workflow. The platform replaces spreadsheets and two legacy systems.

The team connected the platform to item and procurement data so pricing, pack sizes, and weight-to-case conversions populate automatically. Buyers can use the product information needed for ordering without manually filling in these details for each buy.

Teams can plan quantities in the units they sell, while the system translates those quantities into the units vendors ship. This directly addresses the manual conversion work that had complicated ordering and connects store planning with vendor requirements.

Technology Partners also added AI agents and analytics that flag likely over-orders and under-orders before submission. Buyers review these signals and make the final decision. The AI supports their judgment at the point when an order can still be adjusted.

Results

The grocery chain replaced manual, Excel-based ordering with a single workflow covering planning through vendor submission. Purchasing information, unit conversions, and order review now sit within the same platform, giving teams a connected process for seasonal, promotional, and forward buys.

The projected financial impact addresses both sides of the inventory problem: $2 million less over-ordering annually and $4 million in annual revenue recovered by preventing stockouts. These figures represent projected benefits, with lower excess ordering intended to reduce waste and markdowns and better availability intended to protect sales.

We focused on the decisions buyers make every day. By connecting purchasing data, automating unit conversions, and flagging potential ordering problems before submission, we gave them better information while keeping the final decision in their hands.

Jake Gower
Practice Director, Technology Partners

AI agents and analytics help buyers spot potential quantity problems before orders reach vendors. Buyers retain the final call, combining automated checks with their purchasing judgment. The resulting workflow gives the chain a practical way to address ordering accuracy across its stores.

Key Outcomes

• Projected $2 million annual reduction in over-ordering.
• Projected $4 million in annual revenue recovered by preventing stockouts.
• One ordering platform replacing spreadsheets and two legacy systems.
• Automatic population of pricing, pack sizes, and weight-to-case conversions from item and procurement data.
• AI flags likely over-orders and under-orders before submission, with buyers making final decisions.