Enterprise CPG operational intelligence. Not templates.
Unolabs engineers enterprise CPG operational intelligence ecosystems for modern commerce transformation. We move beyond dashboard accelerators to build governed demand forecasting systems, retailer analytics frameworks, pricing intelligence architectures, and supply chain observability platforms that enable faster operational decisions across the full CPG value chain.
Fragmented Silos
Legacy Retail & CPG systems and disconnected feeds.
Domain Model Fit
Signal Integration
Production Reality
8-12 week intelligence deployment
8-12 week intelligence deployment
60% faster than custom-built models
SAP · Snowflake · Databricks · Power BI · MS Fabric
Industry-Specific Friction Points
Demand Signals Are Scattered
POS, ecommerce, distributor, promotion, weather, inventory, and shipment data live in different systems with different grains.
Promotion Blindness
Teams cannot connect campaigns, pricing, stockouts, cannibalization, and sell-through fast enough to adjust.
Slow Custom Modelling
Every CPG analytics build recreates product, customer, channel, geography, and time models from scratch.
How the Retail & CPG system talk to each other
This technical flow diagram reveals how Unolabs treats Retail & CPG data to deliver governed, production-ready outputs.
Source Layer
Signals
Industry Logic
Model
Intelligence
Activation
Action
How the work is engineered for Retail & CPG
Domain Model Fit
We map your product, customer, channel, store, distributor, promotion, and inventory entities to governed, reusable CPG intelligence templates.
Signal Integration
We combine POS, ERP, ecommerce, syndicated, warehouse, and external signals into standardized intelligence layers powered by Snowflake, Databricks, and SAP.
Demand and Supply Views
We publish forecast-ready features, stockout indicators, service level metrics, and replenishment signals for demand planners and supply teams.
Promotion Intelligence
We connect campaign calendars, pricing, volume, margin, lift, cannibalization, and inventory outcomes into a single promotion observability framework.
Semantic BI Layer
We define governed measures for sell-in, sell-out, gross margin, availability, velocity, and forecast accuracy across Power BI and Tableau environments.
Operational KPI Governance
We establish standardized KPI taxonomies and data stewardship models that eliminate conflicting commercial reporting across functions.
Interested in the full industry blueprint?
We have deeper technical documentation for Enterprise CPG Intelligence Architecture in the Retail & CPG sector.