English translation · Comportamento, Varejo & Sociedade

The War for the Basket: Supermarkets No Longer Compete Only with Supermarkets

Cash-and-carry, pharmacy, delivery, restaurant, and marketplace compete for the same budget. How to redefine competition by shopping mission.

Kesler Soares Pereira | Cronos DH · 11 min read

A shopping cart in a supermarket aisle, symbolizing the war for the consumer's food basket among different retail channels.

The food budget does not respect sector boundaries. The same family decides between cooking at home, ordering delivery, buying ready-to-eat meals, stocking up at a cash-and-carry, topping up at a pharmacy, or sorting out the evening at a convenience store.

The problem behind the number

Comparing only price and traffic with the neighborhood supermarket leaves blind spots. Delivery competes for dinner; pharmacies compete for supplements and personal care; marketplaces compete for recurring purchases; cash-and-carry stores compete for stock-up trips; restaurants compete for time. Each captures a different mission.

THE NUMBER THAT MATTERS

The numbers above are not interchangeable: each source works with its own period, panel, and methodology. They serve as converging or contrasting signals, not as a single statistical series.

Proven fact, observed trend, and hypothesis

Proven facts. These are the data attributed to the indicated sources and years. They describe the samples and periods studied.

Observed trend. A combined reading points to a change in basket composition, greater pressure on productivity, and the need to manage price, volume, mix, and availability separately. A trend is not destiny: format, region, and audience can behave differently.

Author's hypothesis. My hypothesis is that classic market share explains less and less. The relevant indicator will be share of occasion: how many times the chain is chosen when a concrete need arises.

Impact on operations

IMPACT ON OPERATIONS

Every change in consumption ends in concrete decisions about purchasing, inventory, pricing, planograms, scale, production, supply, and customer service. If the indicator does not reach these routines, it has not yet become management.

  1. Map share by occasion: stocking up, topping up, eating now, personal care, and celebrating.
  2. Compare the total cost for the customer, including time, travel, and waste.
  3. Measure categories that leave the basket even when income remains stable.
  4. Develop meal and convenience solutions with a clear operational P&L.

Opportunities for operators

The defense is not to imitate all channels. It's to decide which missions the banner can legitimately win. A strong store can be excellent in fresh produce, family stock-up trips, ready-to-eat meals, or convenience—as long as price, assortment, and execution tell the same story.

Implementation should start small: select comparable stores, define a hypothesis, register a baseline, test for a sufficient period, and measure the total effect—including transfers between items, loss, availability, and additional labor. Scaling without this design turns opinion into cost.

WHAT I WOULD TRACK

Revenue, volume, units per receipt, frequency, contribution margin after losses, availability of critical items, and operational productivity. The priority changes by topic, but none of these indicators should be read alone.

Questions for managers

QUESTIONS FOR MANAGERS

Conclusion

The transformation of food retail doesn't just happen in strategic presentations. It appears on the loading dock, in the stockroom, on the shelf, in the price, in the checkout line, and in the shopping cart. The role of leadership is to distinguish noise from structural change and convert insights into operational routine.

Sources consulted

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About the author

Kesler Soares Pereira
Operations and Commercial Management Executive | Psychoanalyst | Human Development

Executive with experience in food retail, cash-and-carry, operations, commercial management, and people management. His analysis combines store routine, indicator discipline, and human behavior to transform consumer signals into business decisions.