Find your margin gap in 4–6 weeks.
The Margin Recovery Roadmap connects your transactional data to our intelligence layer and delivers a quantified diagnostic: where margin is leaking, how much is recoverable, and specific actions to close the gap.
$250M+
in margin gaps identified
7 engagements
across four industries
100%
credited to Year 1 platform
Three steps to your margin roadmap.
Connect your data
Send us 18+ months of transactional history. We connect via standard connectors to all major retailer systems. No ERP integration required.
We run the analysis
Our intelligence layer processes your data through four analytical modules: Demand Intelligence, Product Intelligence, Location Intelligence, and Customer Intelligence.
Get your roadmap
A quantified report showing exactly where margin is leaking, how much is recoverable, and the specific actions to close the gap — with expected impact for each.
What's in the Roadmap
Quantified margin gap analysis
Exact percentages by category, location, and driver
Leakage attribution
Markdowns, stockouts, returns, and shrinkage — ranked by impact
Recovery recommendations
Specific actions with expected margin recovery for each
Competitive benchmarking
How your margins compare to industry and peer benchmarks
Implementation roadmap
Prioritized action plan with timeline and resource requirements
ROI projection
Expected margin recovery over 12 months with confidence intervals
Investment
Single Category
$25K
One category or store cluster
Multi-Category
$50K
Multiple categories or footprint analysis
Comprehensive
$75K
Full-business margin diagnostic
Every dollar is credited in full toward your Year 1 platform subscription. The Roadmap is effectively free when you deploy.
For context: the average Roadmap identifies 6–12% margin gaps. On $300M in revenue, that's $18M–$36M in recoverable margin.
We've done this before.
$70M+
in incremental profit
A ~$700M US specialty apparel retailer. Geo-spatial analysis of 149 stores revealed that optimizing the store footprint from 149 to 107 locations would turn $50M in annual losses into $23M in EBITDA — a 19.3% margin on a leaner network.
€75M
in annual savings
A €560M European intimate apparel retailer. Analysis of store network, loyalty data (80% card penetration), and cannibalization patterns showed that 109–111 store closures would preserve network revenue while dramatically reducing costs.
£10M+
in missed sales
A mid-market UK sporting goods retailer. Consolidated fragmented data from third-party systems into a single intelligence layer. Uncovered a £1.2B adjacent market opportunity in clothing that the business was underserving.
Request your Margin Recovery Roadmap
Tell us about your business. We'll respond within one business day — no automated sequences, a real conversation.