Challenge
A working consulting method depended on manual analysis and disconnected operating data. It needed to become software that could support multiple businesses without turning a useful methodology into a fragile demo.
All selected work
Client engagement · Retail fintech platform
Five weeks from signature to production.
Ashlr built a retail platform connecting commerce, accounting, payments, forecasting, and inventory recovery, from contract to production in five weeks.
Published · Updated
System shipped
Ashlr designed the product foundation, connected commerce, accounting, and payment workflows, and built decision surfaces around the work operators actually needed to complete.
Confirmed outcome
Cash Margin Partners moved from a hand-run method to production software in five weeks. The diagnostic engine launched with 269 passing specifications, and Shopify, Square, and Lightspeed point-of-sale integrations were live by July 25, 2026.
Cash Margin Partners
From operating data to recovery decisions
A connected data foundation
Inventory, accounting, and payment events
Understand inventory
Classify stock and trace the cash tied up in it.
Dead stockSlow moversOverstockAnticipate the next decision
Connect demand forecasts to stockout risk and recovery priorities.
DemandRiskTimingCoordinate recovery
Turn the analysis into reviewable work, with clear approval boundaries.
PlanReviewTrack
Human review, source traceability, and bounded actions across the workflow.
What shipped
The useful system, not just the visible interface.
- A multi-tenant platform live five weeks after contract signature
- A diagnostic engine launched with 269 passing specifications and property-based tests
- Shopify, Square, Lightspeed, QuickBooks Online, Xero, and payment workflows integrated
- Forecasting, recovery planning, and guarded agentic workflows expanded after launch
How the system matured
A production foundation before autonomy.
The engagement moved through three deliberate stages. Each stage earned the next by making the underlying data, decisions, and controls more dependable.
01 · Descriptive
Make the operating problem visible.
The first release classified inventory, quantified trapped cash, and turned the result into a ranked recovery plan operators could inspect.
Production · May 2026
02 · Predictive
Connect forecasts to Monday-morning decisions.
Nightly demand forecasts, stockout dates, risk projections, and price-to-sell guidance were translated into specific actions—not another chart to monitor.
Production · July 2026
03 · Agentic
Let the system act inside visible boundaries.
Structured outputs, confidence signals, audit trails, fallback paths, and human approval gates let agentic workflows prepare and execute bounded work responsibly.
Phased expansion · 2026
Public evidence and product walkthrough
Inspect the work beyond this case study.
Delivery milestones above are Ashlr's published engagement record. These public sources let you verify the client relationship and explore the product independently.
The client describes the partnership
Cash Margin Partners names Ashlr.AI as its strategic engineering partner. The announcement establishes the relationship; it is not a report of final deployment results.
Read the client announcement (opens in a new tab)Explore the public product
See how CMP presents inventory diagnosis, connected retail data, forecasting, and recovery workflows to its customers.
Visit Cash Margin Partners (opens in a new tab)Follow the recovery walkthrough
CMP explains how recovery decisions are sequenced. Examples in that walkthrough are illustrative, not measured results from this engagement.
Explore the public product walkthrough (opens in a new tab)Correctness before theater
The system is designed to surface uncertainty and keep consequential actions reviewable instead of presenting model output as unquestionable fact.
Integrations are product work
External systems, permissions, and approval paths are treated as part of the build—not paperwork left for the client after launch.
Build for the next decision
The platform foundation supports new workflows without forcing the business to replace the first version every time the roadmap expands.
“This is excellent. I love a guy that sweats the details.”
More selected work
Different constraints. The same accountability.
Bring the operating constraint