Our Story

Built for retailers moving from dashboards to AI operations.

PathAnalytics helps retail and ecommerce teams connect fragmented systems, forecast demand, match inventory to demand, and act without building a custom data and AI stack.

Our Mission

Make retail AI practical from day zero.

PathAnalytics was founded to help retailers and ecommerce sellers use AI without first assembling connectors, warehouses, models, dashboards, and workflow tools from scratch.

By unifying POS, ecommerce, inventory, fulfillment, listings, customer, and operational data into one AI-ready layer, we help teams improve sell-through, forecast granular demand, and move faster on the work that protects revenue.

Retail operators reviewing AI-ready commerce and store performance data.
Our Approach

Retail data, models, and workflows in one operating layer.

PathAnalytics brings together data engineering, retail domain logic, forecasting models, and operational workflows so teams can start with the platform they would otherwise have to build.

Unified Retail Context

We connect stores, ecommerce channels, inventory, fulfillment, listings, buyers, locations, and transactions into a governed retail data foundation.

Purpose-Built Retail AI

Our models and workflows focus on demand forecasting, sell-through, pricing, inventory placement, lister performance, fulfillment risk, and plain-English business questions.

Usable Across Teams

We design for operators, merchandisers, ecommerce teams, planners, listers, analysts, and executives who need one trusted view and clear next actions.

Work With Us

Build the retail AI layer your teams can use.

Whether you want to modernize retail operations or help build the platform, we would like to connect.

Get in Touch