ShelfWare
A managed commerce intelligence service that turns authorized store history into versioned customer segments, inventory-risk scenarios, price observations, and fraud-review flags exposed through bounded agent tools.
An official commerce connector, three free open-source analytics servers, and a commercial dashboard validate the primitives and sharply narrow the opportunity. ShelfWare cannot differentiate on RFM, forecasting, pricing optimization, or fraud flags alone. Its wedge is a managed, multi-platform, source-reconciled service with an ongoing competitor-price pipeline and safe agent access. Every result must expose source, time, method, missingness, uncertainty, and decision boundary; forecasts and scores are not autonomous pricing, inventory, customer, or fraud decisions.
The owner, ecommerce operator, or agency managing a smaller online store across commerce, inventory, marketing, and competitor data.
Several 2026 launches create a narrow managed-service window.
Smaller store operators have concrete segmentation, inventory, and competitive questions.
The input has several competitor signals but moderate idea-graph convergence.
Official connectivity, several open implementations, a paid dashboard, and a clear store operator validate demand and buildability.
Three free direct tools narrow the feature gap, no interface is verified, competitor data is costly and rights-sensitive, and no incumbent barrier exists.
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