Use Athena to analyse grocery pricing, match competitors and review price recommendations before syncing approved updates.
BetterBasket is a pricing and merchandising platform built for grocery retailers. Its Athena agent system combines competitor information, product data and the retailer’s own goals to recommend price changes. The workflow extends from preparing data to reviewing recommendations and sending approved updates into existing operational systems.
The platform accepts product, price and sales data as a starting point. Costs, promotions, inventory and loyalty information can add context later. Its data workflow standardises imported material such as spreadsheets and vendor documents, while competitor collection gathers location-specific prices from public sources. Product matching considers attributes such as size, packaging and flavour, which matters when comparing private-label or fresh items that do not share an identical identifier.
Retailers define goals, constraints and the categories or zones covered by a strategy. Athena then identifies items that may be underpriced, overpriced or misaligned with the intended competitive position. The interface presents projected revenue, units and margin so the operator can inspect tradeoffs before making a decision. Recommendations can be accepted, rejected or edited.
Approved price changes can be pushed to connected POS or back-office workflows. Teams can also begin with reports and recommendations before adopting more automated integrations. Regional, zone and store-level strategies are supported, reflecting the different competitors and demand patterns faced by individual locations.
BetterBasket distinguishes promotional pricing from everyday pricing and considers factors such as seasonality, timing and cannibalisation. Its analytics compare performance with projections after a change. The company describes working with retailers on evaluation methods, including comparable test and control groups where appropriate. Published customer outcomes should not be treated as a promise for another store.
Implementation begins with a company discussion rather than a public self-service price. A useful pilot agrees the data inputs, match criteria and approval process before publishing changes. Operators retain responsibility for the final shelf price and should inspect both the commercial logic and the measured result as the strategy evolves.
