Overwatch
Decisive advantage to win every store.
Overwatch pinpoints the exact stores and actions that drive growth—and pushes that guidance in real time from the C-suite to the sales rep for execution.
[Features]
/0.1
Every Store Its Digital Twin
Each store exists as a living, machine-readable 3D representation—capturing products, placement, fixtures, and conditions. This enables visual and analytical interrogation of execution across all stores and markets.
Legacy Research Is Broken.Our response is an operating system.
Agencies explain. Dashboards describe. Winning comes from systems that confer advantage in action — continuous, census-scale, closed-loop. Three legacy categories. Three Native responses.
LEGACY
HOW THE INDUSTRY MEASURES TODAY
NATIVE RESPONSE
THE OPERATING MODEL WE BUILD
[01]
Perfect StorePrograms
Standardized. Sampled. Retrospective.
Built on fixed standards and periodic measurement
Limited sample sizes mask store-level variation
Focused on compliance scoring, not impact
Insight arrives too late to correct execution
IN SUMMARY
Designed to assess adherence — not to drive outcomes.
[01]
ContinuousPerfect Store
Living. Census-scale. Outcome-linked.
Measures every store, every visit — not a sampled panel
Standards evolve with execution, priced against impact
Ties shelf condition to sell-through and share
Signal arrives in time to change the next visit
THE SHIFT
From scoring adherence to engineering outcomes.
[02]
Self-Reporting
Declared. Inconsistent. Limited to where you already are.
Dependent on rep-entered data and checklists
Incentives bias what gets reported
Coverage varies by route and discipline
Confidence replaces evidence
IN SUMMARY
Data exists — but coverage and trust do not.
[02]
Sovereign FieldIntelligence
Observed. Verified. Census-wide.
Direct capture at the shelf — not rep declarations
Incentive-proof: the measurement is the record
Full-market coverage, including stores you don't visit
Evidence replaces confidence, at every door
THE SHIFT
From declared activity to verified reality.
[03]
ComputerVision
Automated. Narrow. Context-blind.
Detects visible conditions without commercial context
Lacks prioritization and impact modeling
Disconnected from decision-making and execution
Flags issues without closing the loop
IN SUMMARY
Technology without an operating model.
[03]
Agentic Vision+ Spatial AR
Contextual. Prioritized. Loop-closing.
Reads the shelf through commercial context, not just pixels
Ranks issues by modeled revenue and share impact
Routes the right action to the right operator in-store
Verifies the fix and feeds outcomes back to the model
THE SHIFT
From detection to advantage — from pixels to P&L.
Real-World Visibility
A commercial lens on every store.
Panels sample. Dashboards describe. Winning needs the shelf as it actually is — store by store, visit by visit. Ten execution metrics. Your store universe, made actionable.
On-Shelf Availability (OSA)
Share of Visible Inventory (SOVI)
Brand share of shelf, display, and visible space relative to competitors.
Share of Cooler Inventory (SOCI)
Cooler Invasion
Competitive Encroachment
Price & Promo Compliance
Out-of-Stock Rate (OOS)
Minimal / Optimal Portfolio Penetration
Presence of required SKUs versus the optimal assortment per store.
Door Count Gap
Price Gap & Misalignment
Engineered for modern leaders who play to win.
[Explore Case Studies]
01
Home & Personal Care
Driving category penetration across informal trade channels with precision execution.
Read case study
02
Portfolio Optimization
Expanding portfolio distribution beyond the core category by targeting strategic neighborhoods
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03
Precision Distribution
Securing shelf space through hyperlocal POS targeting in high-potential neighborhoods
Read case study
04
Secondary Category Lift
Optimizing distribution and POS activation across diverse BevAlc categories.
Read case study