Overview
Storesight collects real-time field data using a global network of everyday smartphone users who complete small tasks for pay. How it works: clients submit data-gathering tasks (for example, photo documentation, price checks, product placements) in the Storesight app; agents perform the tasks in stores, upload evidence (photos, notes), and get paid. The platform aggregates results and delivers actionable insights to brands and retailers. Storesight differentiates itself from competitors by leveraging a large, on-demand crowd to gather data quickly and at lower cost, enabling international reach and scalable coverage. Its goal is to help brands make faster, better-informed decisions through accurate, timely field data.
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Simplify's Take
What believers are saying
- February 2, 2026 Share of Shelf launched across 480 categories and 5,000 brands.
- Storesight says daily shopper photos now capture a new image every second.
- July 2025 rebrand signaled stronger international expansion while keeping Fayetteville headquarters.
What critics are saying
- Storesight still depends on crowded retail audits; Amazon and retailers can compress demand.
- AI shelf measurement invites competition from Circana, NielsenIQ, and in-house CPG analytics teams.
- If shopper supply or retailer access weakens, its core data network loses credibility quickly.
What makes Storesight unique
- July 2025 rebrand unified Field Agent crowdsourcing with Shelfgram AI into Storesight.
- Storesight spans 3 million shoppers, 50,000 retail locations, and 80% ACV coverage.
- CEO Ty Kasperbauer says unlimited licenses and time-travel shelf archives improve buyer meetings.
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