Retailgrid provides an AI‑powered, spreadsheet‑style platform that consolidates product, cost, competitor, and inventory data into a single grid, allowing mid‑market retailers to define pricing rules in plain language and generate explainable price, assortment, and markdown recommendations. The solution automates the pricing workflow, delivering margin and revenue improvements in days instead of months, and supports bulk approvals with full audit trails.
Funding
€358K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Mid-market retailers often rely on fragmented spreadsheets, BI tools, and disconnected pricing systems, leading to slow, error‑prone pricing cycles that can take days to complete. The lack of a single source of truth makes it difficult to apply consistent pricing logic, assess inventory productivity, and respond quickly to competitor changes.
Solution
Retailgrid offers an AI‑powered, spreadsheet‑style workspace that consolidates product catalogs, costs, competitor prices, and inventory data into a unified grid. Users upload CSV files or connect via API, then define pricing rules in plain language without needing SQL or custom code. Built‑in AI agents analyze the structured data and generate price, assortment, and markdown recommendations, which can be approved in bulk or by exception. Each recommendation includes the underlying calculations, providing transparent, explainable decisions. The platform delivers these insights in days rather than the months required for traditional enterprise pricing software rollouts, enabling faster margin improvements and revenue uplift.
Target Audience
Primary users are pricing managers, category managers, and e‑commerce directors at mid‑market retailers (1–50 stores or D2C brands) managing up to 100,000 SKUs who need a fast, explainable pricing solution without a full data‑science team.
Features
- Excel‑like grid that ingests products, costs, competitor data, and custom signals from CSV or API
- Plain‑language rule engine for margin floors, competitor positioning, and markdown waves (no SQL, no black box)
- AI agents for rules‑based pricing, price elasticity, seasonality analysis, price optimization, and product role definition
- Bulk approval workflow with exception handling and full audit trail showing the math behind each price
- Integrated price monitoring that streams live competitor data into the same workspace
- Scalable plans from 500 to 1,000,000 grid rows, with optional agents added on demand
- Export‑ready pricing decisions and API integrations for downstream execution systems