Enterprise-grade marketplace analytics — translated into open, non-proprietary frameworks that any SMB seller, SBDC counselor, or state commerce program can run on their own laptop.
What it does
Score your listing health across ten quality signals. Surface suppression risk before it costs you ranking — and audit catalog concentration using the same statistic the U.S. DOJ uses for merger review.
Walkthrough notebook →Diagnose stockout risk and compute safety stock and reorder points for every SKU in your catalog — including a defensible estimate of the platform suppression tail that follows a stockout.
Walkthrough notebook →Auto-select the right forecasting method per SKU and wrap it in five operational guardrails that tell you when not to trust the forecast — before it drives a bad reorder.
Walkthrough notebook →Who it's for
How this is different
Reading list
Plain-language companion essays to each module of the toolkit. Written for counselors and operators, not engineers.
What marketplaces publicly say about what they reward — and what that means for a small seller's day-to-day operations.
Translating lead times, demand variability, and platform-suppression risk into reorder points a small seller can actually use.
How to pick the right forecasting method for a given SKU's demand pattern — without needing a data-science degree.
Five operational guardrails that catch the failure modes a counselor needs to know about before the next reorder cycle.
Why the same DOJ thresholds used for merger review apply to a small seller's catalog — and how to audit your own.
The complete toolkit — three working modules, an interactive Streamlit app, and Jupyter walkthrough notebooks — is open source, freely usable without asking permission, and designed to be adapted for your organization's specific context.
"All methods are derived from public academic and industry sources. All data is synthetic. Nothing is proprietary."
