Basket analysis
Average basket value and size, items bought together and the effect of promotions on the whole basket, by store, day and customer segment.
TURBOARD brings till, stock, waste and supplier data from every store into one governed model, so grocery chains see baskets, categories, shrinkage and store performance from the same figures.
A grocery chain sells thousands of products across hundreds of stores, every day. Fresh products expire, shelves run empty, promotions shift demand between categories and suppliers deliver late or short. The data exists — in tills, warehouse systems, waste records and supplier files — but it rarely meets in one place, and a point of margin lost to waste or out-of-stocks is noticed only at month-end.
TURBOARD connects these sources once and calculates sales, margin, waste, shrinkage and availability from one set of definitions. Category managers, store operations and buyers work from the same model, each seeing the stores and categories they are responsible for. Comparisons with the same days last week or last year are a setting, so weather, holidays and promotions can be read clearly.
Average basket value and size, items bought together and the effect of promotions on the whole basket, by store, day and customer segment.
Sales, margin, space and share by category and subcategory, compared across stores and against the same period last year with Vis-a-Vis.
Waste, markdowns and unexplained stock loss by product, department and store, with conditional formatting marking where losses exceed tolerance.
Products with zero or low stock while demand continues, tracked by store and supplier so gaps are closed before sales are lost.
Stores of similar size and format compared on sales, margin, waste and basket, side by side with patented dashboard cloning.
Delivery accuracy, lead times, fill rates and the margin contributed by each supplier, from your own receiving and sales data.
Fresh waste and markdowns are totalled after the fact, when ordering habits have already repeated for weeks.
Waste and shrinkage refresh with the data, and scheduled reports send each store and department its own exceptions.
Out-of-stocks do not appear in sales reports; they simply reduce sales.
Low-stock and zero-stock products are flagged by store and supplier, with trends that show recurring gaps.
A promotion lifts one product while the category and the basket stay flat.
Promotion results are measured on the basket and the category, compared with comparable days before the campaign.
Buyers discuss late or short deliveries without consistent figures.
Fill rates, lead times and margin per supplier come from your own data, with KPI cards in the PER-S module.
JAS, the AI assistant built into TURBOARD, answers from the same governed model your reports use. Ask a question and she finds the relevant data, builds the chart and edits it on command. With JAS Explain, a category or store dashboard comes with a written interpretation of what changed and why.
Explore JAS capabilities →We will connect a sample of your sales, stock and waste data and show how TURBOARD and JAS track baskets, categories and shrinkage.