What Food & Grocery Data Inquiries Told Us About 2026 Demand: Q3 Recap

Introduction

We read every inquiry that reached our food and grocery pipelines this year — of them across countries — and categorized what people actually asked for. Five demand patterns stood out: India's quick-commerce intelligence boom, a global wave of price-comparison app builders, the Gulf's platform war creating new data demand, AI agents arriving as a buyer category, and the quiet persistence of the POS-integration confusion. Here's the data.

The dataset

inquiries, categorized by geography, use case and asset type; aggregated — no individual inquiry identified. This transparency section is what makes the piece citable rather than marketing.

Finding 1 — Quick commerce is the center of gravity

India accounted for of all food/grocery inquiries, and the dominant ask was quick-commerce intelligence: pin-code pricing, availability/OOS, shelf share, dark-store data. Notably, demand came from brands themselves — manufacturers entering or defending on Blinkit/Zepto/Instamart — not just agencies.

Finding 2 — Everyone is building a price-comparison app

Founders from the US, Australia, UK, Canada, South Africa and Saudi Arabia — separate inquiries — described near-identical products: compare a basket across local retailers. The pattern says cost-of-living pressure has made grocery price transparency a global product category, and the constraint is never the app — it's the data layer.

Finding 3 — The Gulf's platform war is a data demand engine

Keeta's expansion showed up directly in our inbox: Gulf inquiries in the quarter, from restaurant groups to F&B market-intelligence startups. New entrant → incumbents react → everyone needs measurement.

Finding 4 — AI agents became a buyer category

A first this year: inquiries explicitly building on Claude, Gemini and Copilot — and leads that arrived via AI assistants recommending us. The requirements differ from human-facing apps (schemas, provenance, staleness rules), which is why "LLM-ready" stopped being a buzzword and became a spec.

Finding 5 — The most common inquiry we can't serve

A steady stream asks for Swiggy/Zomato order APIs or customer personal data — neither of which any legitimate data provider can or should supply. We wrote the definitive explainer and now route these inquiries to it; honesty about the boundary is itself a differentiator in this industry.

What we're doing about it (Q4 preview)

• Index expansions (new entrants into the pricing index)
• Gulf coverage deepening
• AI/MCP delivery roadmap — only commitments that are real