In-Store Intelligence

The intelligence behind better in-store decisions.

Observa combines a 700,000-person observer network with an AI-powered analysis layer โ€” so CPG brands know what's happening at the shelf, and what to do about it.

Category IntelligenceLive
Snacks
Beverages
Dairy
Top Signals
1
Share Momentum๐Ÿ”ฅ 98
Sunbelt Baking trends up for 4th consecutive month
Share rising from 4.2% โ†’ 5.1% over 6 months. +21% relative gain.
2
Shelf Opportunity๐Ÿ”ฅ 95
Your brand: 19% sales share โ€” 11% shelf space at Kroger
Sales share
19%
Shelf space
11%
3
Regional Alert๐Ÿ”ฅ 91
Zero shelf presence in TX, AZ, NM despite strong regional velocity
"Our planogram compliance is strong."
Until someone actually checks. Execution gaps are invisible until a competitor is already winning the space you thought you owned.
"We're outselling competitors in this region."
But does your shelf space reflect it? Sales velocity and facing count rarely match โ€” and the gap is where margin disappears.
"We'll know how the promotion performed next quarter."
By then, the window is closed. Observa captures promotional compliance during the window โ€” while there's still time to act.
How It Works

From observation to decision.

Three stages that turn real shelf conditions into actionable intelligence โ€” faster than any alternative.

1
Observe
Our network of 700,000+ observers captures real shelf conditions โ€” photos, structured data, pricing, compliance โ€” across every market, chain, and region you care about.
700,000+ observers. All 50 states and Canada. 1M+ store visits completed.
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2
Analyze
AI and human analysts transform raw observations into category intelligence โ€” share trends, execution gaps, competitive moves, and anomalies surfaced and ranked automatically by signal strength.
15M+ images captured and analyzed. Insights delivered in hours, not weeks.
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3
Decide
Connect your own sales data and query the intelligence layer directly. Ask questions in plain language. Get specific, chain-level recommendations โ€” and the data to act on them at the buyer table.
Available via MCP for direct AI workflow integration. Chain, region, and state-level resolution.
700k+
Observers
50+
States & Canada covered
1M+
Store visits completed
15M+
Images captured
The Intelligence Layer

We don't just collect data. We turn it into decisions.

Most vendors stop at delivery. Observa goes further โ€” combining field observations with your own sales data to surface the specific insight your team needs next.

  • Ranked, narrative-driven signals that explain what changed and why โ€” not just what the number is
  • Connect your own sales data to see exactly where shelf share lags your velocity โ€” and by how much
  • Query your data in plain language via MCP and receive chain-level recommendations ready to bring to the buyer table
  • Drill from national trends to regional anomalies to individual store-level findings in one workflow
Explore the Intelligence Layer โ†’
Observa Intelligence
Connected via MCP ยท Shelf + Sales data
MCP Active
Where is my brand underrepresented at shelf relative to our sales velocity?
Observa field data ยท Your sales data
Found 3 chains where your shelf share significantly lags your sales share. Largest gap: Kroger (โˆ’8 pts). At current velocity, you're leaving an estimated 3โ€“4 additional facings unrealized in 600+ doors.
Kroger ยท National
โˆ’8 pt gap
Sales share
19%
Shelf share
11%
Flag stores with zero presence where we have strong regional sales.
Observa ยท Regional observation data
47 locations confirmed: zero shelf presence in TX, AZ, and NM โ€” all high-velocity markets. Pattern is systemic. Escalation recommended at the category captain level.
Get Started

Ready to see what's actually happening in your stores?

Talk to our team and get a personalized look at what Observa intelligence would reveal for your category, your chains, and your competition.

Schedule a Demo โ†’