Pricerium offers an AI‑driven pricing platform that lets users submit natural‑language pricing requests, automatically generates demand and elasticity‑based pricing scenarios, and uploads approved parameters directly to enterprise pricing systems via API. The solution combines a unified pricing data lake, modular ML models, and a human‑in‑the‑loop workflow to accelerate data‑driven price adjustments for retail and wholesale channels.
Funding
Funding not disclosed
Founders
Product
Problem
Retail and other businesses often rely on legacy pricing systems that require lengthy report generation, manual recompilation, and separate implementation steps, causing delays between pricing decisions and their execution. This slows response to market changes and hampers profit growth.
Solution
Pricerium provides a ready‑made AI pricing agents platform that connects a generative pricing engine to a unified pricing data lake and ML optimization layer. Users submit natural‑language pricing requests to the Pricing Copilot, which gathers relevant data, runs demand and elasticity models, and generates actionable pricing parameters with explanations. The platform then uploads these parameters directly to the pricing circuit via official APIs, eliminating manual recompilation and preserving context. A human‑in‑the‑loop workflow lets managers set strategy guardrails while agents propose scenarios, and the resulting sales facts feed back into a self‑learning loop for continuous improvement. The solution delivers faster, data‑driven pricing adjustments across online and offline channels.
Target Audience
Primary customers are pricing managers, category managers, and commercial teams in retail, e‑commerce, and wholesale organizations that need rapid, automated pricing decisions across multiple channels.
Features
- Generative pricing engine with LLM‑driven Pricing Copilot that interprets natural language queries and creates optimization scenarios
- Unified pricing data lake storing sales, promotions, competitor data, and textual sources as a single source of truth
- Modular ML engine for demand forecasting, elasticity estimation, causal promotion effects, and dynamic pricing optimization
- Automated upload of approved pricing parameters to enterprise pricing circuits via secure API integration, removing manual recompilation
- Human‑in‑the‑loop control with strategy guardrails, audit trails, and traceability for each decision
- External context integration that incorporates competitor promotions, market news, and supplier conditions into pricing recommendations
- Self‑learning feedback loop that ingests post‑implementation sales facts to refine models and improve future scenarios