Real operating context, not theoretical frameworks.
Numbers aren't published for every engagement, but every case study here has a real problem, a real approach, and a real result.
USA eCommerce Supply Chain Scale-Up
ProblemA fast-growing baby formula eCommerce business with complex import, fulfillment and inventory planning.
What it showsReal DTC/eCommerce scale-up experience - 300–500 orders/day, team leadership, Shopify and order-flow operations.
q-commerceAvailability as Customer Experience
ProblemIn q-commerce, out-of-stock is not an internal KPI - it's a problem the customer sees immediately.
What it showsA working understanding of the link between availability, supplier performance, inventory location and customer experience.
AI agentSupplier Delivery Accuracy Agent
ProblemManually checking ordered vs. delivered quantities is slow and delays feedback to suppliers.
What it showsAI/automation capability for delivery accuracy, barcode/quantity control and vendor communication.
AI agentShelf-Life Compliance Agent
ProblemGoods arriving with poor remaining shelf life create shrink and customer-freshness issues.
What it showsA practical agent that checks expiry dates, minimum shelf life, supplier claims and FEFO signals.
Operator credibilityMusashi eCommerce Operating System
ProblemRunning an own eCommerce brand - content, email marketing, products, listings, B2B and scaling.
What it shows"I am an operator too" credibility - a working understanding of real founder problems, not just advisory frameworks.
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