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Selected work

Proof with the roadmap stripped out.

Confirmed systems, measurable delivery, and client relationships we can describe responsibly.

AI-created grayscale illustration of people discussing software at a working table.
AI-created illustration of a collaborative working session.

Cash Margin Partners

From operating data to recovery decisions

Cash Margin Partners

A connected data foundation

Inventory, accounting, and payment events

  1. Understand inventory

    Classify stock and trace the cash tied up in it.

  2. Anticipate the next decision

    Connect demand forecasts to stockout risk and recovery priorities.

  3. Coordinate recovery

    Turn the analysis into reviewable work, with clear approval boundaries.

Human review, source traceability, and bounded actions across the workflow.

System overview based on the published engagement. Not a live dashboard or customer-data screenshot.
Cash Margin Partners logo

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.

  • Product engineering
  • Systems integration
  • AI-enabled workflows
Read the case study
Cover of the Ashlr and JMU Entrepreneurship Through Acquisition case study

Ashlr case study: teaching the future operators of America’s small businesses.

JMU ETA & GCFE logo

Institutional partnership

AI education and adoption

Two ETA cohorts learned from systems already in production.

Ashlr taught two JMU ETA cohorts how to assess AI opportunities and turn credible ideas into responsible implementation plans, using production systems as examples.

  • AI education
  • Opportunity assessment
  • Implementation planning
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Client engagement

Operating intelligence

Integrated data became a decision surface leaders could use.

Ashlr connected operating data into clean dashboards and comparative intelligence designed around leadership questions—not another reporting layer to maintain.

  • Systems integration
  • Executive dashboards
  • Market benchmarking
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Your problem will not look exactly like these.

The delivery model should still feel familiar.

Start with the operating constraint. We will map the systems, risks, and fastest credible path to working software.

Discuss your project