Stockorlo started as a Python script emailed to one retailer. It is now a replenishment intelligence tool used by mid-market e-commerce buying teams who no longer want their Mondays eaten by spreadsheets.
In late 2022, Yuki Tanaka spent six months as an e-commerce operations consultant embedded inside a Seattle-area outdoor gear retailer. Every Monday morning she watched their two-person buying team pull data from three separate spreadsheets and spend four hours reconciling numbers before they could make a single reorder decision. That manual process still missed a $140,000 stockout on their top-selling rain jacket two weeks before peak season — not because the data was wrong, but because nobody had time to look at it.
The retailer had accurate historical data sitting in Shopify and NetSuite the whole time. Nothing connected those systems to a replenishment signal. The buying team was the integration layer, and that human integration broke down exactly when demand complexity peaked and they had the least capacity to think carefully. Yuki recognized the pattern immediately: the problem was not the data. It was the missing step between data and decision.
She built a lightweight Python script that pulled Shopify order history and NetSuite on-hand quantities nightly and emailed a ranked stockout risk list each morning. The retailer’s head buyer called it the best operational improvement she had seen in three years and asked for a promotion-aware version before Black Friday. That script became the core of Stockorlo.
Replenishment decisions should not require four hours of manual reconciliation every week. Stockorlo makes those decisions automatic — not by replacing your buying team’s judgment, but by handling the data assembly so they can focus on the decisions that actually require it.
Mid-market e-commerce operators sit in an underserved gap. Enterprise retailers can afford dedicated supply chain planning teams and six-figure software contracts. Single-SKU DTC brands rarely carry enough complexity to justify anything beyond a simple reorder point. But an operator running four thousand active SKUs across two fulfillment centers and three seasonal collections does not fit either category. She needs replenishment logic that understands velocity curves, supplier lead time variability, and promotional lift simultaneously — and she needs it delivered as a decision she can approve in thirty seconds, not a dashboard she has to interpret for an hour.
Stockorlo exists specifically for that operator. We believe the right model is one that brings accurate, timely purchase order recommendations directly to the buying team’s workflow, integrates with the ERP and storefront systems already in place, and gets out of the way. No migration, no rip-and-replace, no six-month implementation. Just better decisions made faster, starting the Monday after onboarding.
Stockorlo is a seed-stage company with early revenue from mid-market e-commerce operators who came to us through direct outreach and referrals. We are not a general inventory platform. We are specifically the demand forecasting and reorder recommendation layer that turns existing ERP and storefront data into actionable purchase order drafts.
The team is based in Seattle. Yuki co-founded Stockorlo with Brennan Osei, who spent five years building carrier data pipelines at a Seattle-based logistics software company, and Petra Vass, who spent three years as a product manager building demand forecasting UI for Shopify merchants at a well-known inventory planning platform. Callum Whitfield joined as founding data scientist after completing his Applied Math PhD at the University of Washington with a focus on demand forecasting research.
Stockorlo is built for e-commerce operators running 500 to 15,000 active SKUs, with $5M to $80M in annual GMV and one to four fulfillment locations. Our customers are typically on Shopify with NetSuite or Cin7 as their ERP, managing seasonal demand across multiple product categories. If you are a single-SKU DTC brand with straightforward reorder logic, Stockorlo is more than you need. If you are running Blue Yonder or o9 Solutions with a dedicated supply chain planning team, Stockorlo is less than you need.
Yuki and Brennan handle early customer conversations personally. If you are running a mid-market e-commerce operation and managing replenishment across Shopify, NetSuite, or Cin7, we want to hear how you are doing it today.