Food retail pricing: why your strategy fails on the shelf (and how AI can help)

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To address these challenges, retailers are increasingly relying on pricing solutions and artificial intelligence capable of automating competitive analysis, simulating prices at scale, and ensuring pricing consistency all the way down to the store level.

The food retail sector is a true battlefield where every cent matters. For several years, Mercio has been working with retailers and has observed a recurring pattern: strategies that look perfectly solid on paper often turn into chaos once deployed on the shelf. Why? Because operational reality brings its own constraints.

According to a study conducted by Bional, in 2022 87% of French consumers reported shopping at multiple food retail chains, and for 67% of them, price had become the number one factor when choosing a store.

This article explores the specific challenges of pricing in food retail and the levers that can help ensure that pricing strategies defined at headquarters are actually implemented in stores.

Price perception: a multidimensional and local battle in food retail

Price image cannot be reduced to a simple indicator. It is a multidimensional concept that is built at several levels:

• at the product level
• at the shelf level
• at checkout
• and within the store’s local catchment area
  

Customers do not compare your prices to a national average

Consumers do not think in terms of national averages. When they pick up a product on the shelf—such as a jar of Nutella—they are not wondering whether your price is lower than the national average of competitors. They simply compare it with the price in nearby stores they also visit.

A significant price gap on a flagship product compared to a local competitor can quickly damage the perception of the retailer. For instance, a 30% difference on a key product may lead customers to feel they are paying too much and encourage them to try another store on their next shopping trip.

This is why a national price index remains a limited indicator. To identify real opportunities for competitiveness or margin optimization, pricing must be managed relative to the competitors actually present in each store’s catchment area.

KVIs: the key products to manage in a food retail pricing strategy

Not all products carry the same weight in the consumer’s mind. Key Value Items (KVIs) are benchmark products whose prices strongly influence a retailer’s price image.

Investing heavily in price competitiveness on products that customers rarely compare often leads to unnecessary margin loss. Conversely, being significantly overpriced on a KVI can instantly damage the price perception of a store and reduce its attractiveness.

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Pricing consistency in food retail: the foundation of trust

Price consistency on the shelf plays a central role in consumer perception. Grocery shopping typically involves spending time in-store, during which customers actively compare the products available on the shelves. This is the moment when trust in a retailer is either built—or lost.

Losing a customer can represent 52 baskets per year

Customer loyalty is built over the long term, while profitability decisions are often made with short-term objectives in mind. When a consumer loses trust due to a pricing inconsistency—such as a family pack priced higher per unit than the individual format—the impact goes far beyond a single lost purchase.

In food retail, a loyal customer typically shops once per week. Losing that customer can therefore represent up to 52 shopping baskets per year. Since acquiring new customers is expensive, protecting the existing customer base requires clear, logical and consistent pricing on the shelf.

Private labels vs national brands: a variable equation

Within a food retail pricing strategy, private labels play a critical role both for margins and for strengthening the retailer’s brand identity. However, the price gap between national brands and private labels must be managed carefully.

The optimal strategy varies significantly depending on the product category. In segments such as cola or chocolate spreads—where brand preference is strong—a substantial price gap is often necessary to encourage customers to choose private labels.

In other categories, such as dairy products, brand preference is weaker, meaning that price investment on private labels can be lower while still remaining competitive.

Industrializing pricing in food retail: from complexity to performance

Massive data volumes: when Excel reaches its limits

In food retail, data volume is a major challenge. Retailers must manage tens of thousands of products, often adapted locally depending on the store and its catchment area. Each pricing simulation may therefore require millions of calculations.

In this context, traditional tools such as Excel quickly reach their limits. Beyond a certain data volume, files become heavy, difficult to maintain, and poorly suited for detailed and responsive analysis.

To effectively manage their pricing strategy, retailers need platforms capable of processing large volumes of data within minutes and running reliable simulations at scale.

AI and competitive matching: automating the analysis

Another major challenge in food retail pricing lies in comparing products with those of competitors. Product matching—identifying equivalent items across retailers—becomes particularly complex when assortments include specific formats, exclusive items, or private labels.

Artificial intelligence now makes it possible to automate a large part of this work. Thanks to semantic analysis and advanced product data processing, pricing tools can automatically identify product matches and significantly accelerate competitive analysis.

This automation allows pricing teams to increase productivity and focus on strategic decisions rather than manual and repetitive tasks.

Discover how Mercio tackles the product matching challenge using the latest AI models.

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Transparency and regulatory agility in food retail pricing strategies

Explaining the price to ensure it is applied in stores

A pricing strategy defined at headquarters only delivers results if it is actually applied in stores. If the recommended price is not understood by the store manager or the in-store teams, it may simply not be implemented.

This phenomenon—often referred to as pricing drift—creates gaps between the intended strategy and the reality on the shelf.

To ensure alignment, every price must be clear, justified and transparent. A price construction diagram can help explain the decision logic, such as positioning relative to competitors, respecting a minimum margin threshold, or applying a rounding rule.

This transparency facilitates understanding and strengthens alignment between headquarters and stores.

Tight margins and responsiveness: the impact of purchase prices

Pricing in food retail operates within a highly constrained regulatory and economic environment. Regulations such as EGalim 3 and resale-at-a-loss thresholds impose strict rules that can evolve rapidly.

As a result, even small changes in supplier purchase prices can significantly affect profitability. Pricing tools must therefore be able to instantly propagate these new constraints across the entire catalog, while maintaining a competitive positioning.

Pricing is gradually establishing itself as a strategic function in its own right, complementing procurement. It must demonstrate its value through reliable data and robust analysis, allowing teams to focus on strategic decisions.

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