Unlock Retail Data Intelligence
We help CPG companies collect, harmonize, and activate outlet transactional data — turning fragmented point-of-sale signals into a single source of truth.
People · Process · Technology
The Complete Outlet Data Solution
Technology alone isn't enough. We combine cutting-edge infrastructure with expert people and proven processes to deliver results CPG brands can count on.
Technology
A unified data platform engineered for CPG complexity. Automated harmonization and standardization across all outlet types, backed by deep experience with every major retail segment and POS data format.
- Automated harmonization
- Standardized data model
- API-first architecture
People
Expert data operations specialists — augmented by AI agents that handle the execution layer of follow-up actions to the retailer. Our people set the strategy; agents operate at scale, resolving exceptions, triggering corrections, and keeping data flowing without manual intervention.
- AI-augmented specialist team
- Agent-driven exception handling
- Customer success
Process
Proven operational frameworks for outlet data collection. From onboarding checklists to quality SLAs, our process layer ensures consistency, auditability, and continuous improvement.
- Onboarding playbooks
- Quality SLAs
- Continuous improvement
Enterprise Infrastructure, Built for CPG Scale
Our platform handles billions of transactions per month with the reliability, security, and performance that global CPG operations demand.
Omni-Channel Data Collection
We work with outlet data across every major retail format — national chains, c-stores, grocery, drug, mass, specialty, and independents — handling the full range of POS platforms and source types your distribution footprint spans.
- All major retail formats covered
- Every POS platform and data type
- Direct, distributor, and DSD sources
Automated Data Harmonization
Our platform runs hundreds of automated correction rules on every ingested record — from file structure alignment and missing data detection to duplicate removal and outlier flagging — before applying a generative AI-powered semantic layer that matches fields, entities, and timelines consistently across all retail sources.
- Hundreds of auto-correction rules
- Semantic layer for cross-retailer consistency
- AI agent-driven field & entity matching
Multi-Retailer Aggregation
Consolidate data from distributors, wholesalers, direct-store-delivery, and modern trade into a single unified feed with full audit lineage.
- Distributor & wholesaler feeds
- Direct-store-delivery support
- Full audit lineage
From Raw Signal to Strategic Insight
Our four-stage pipeline turns fragmented outlet data into a verified, enriched, and activated source of retail intelligence.
Connect & Collect
Bring together outlet data from across your entire distribution footprint — POS systems, distributor feeds, DSD, and wholesaler sources — spanning every major retail format and segment your brand operates in.
Standardize
AI agents execute hundreds of automated correction rules in real time — resolving file structure misalignments, filling missing values, removing duplicates, and flagging anomalies — before the harmonization engine maps every field to a canonical CPG data model.
Enrich
Augment raw transaction data with geospatial outlet attributes, channel classification, demographic overlays, and competitive benchmarks. Transform numbers into actionable context.
Activate
Deliver enriched, analytics-ready data to your BI tools, demand planning systems, and trade management platforms via real-time webhooks, scheduled exports, or our GraphQL API.
How a Top-5 Beverage Brand Reduced Outlet Data Gaps by 83%
A Fortune 100 beverage company was flying blind across 45,000 outlets in emerging markets. Learn how mdcpg.ai's harmonization layer delivered full coverage in under 90 days.
Read moreThe Hidden Cost of Fragmented POS Data in CPG Trade Promotion
Inconsistent outlet data can silently erode trade ROI by 12–18%. We break down where the gaps occur, how to measure them, and what a modern data ops approach looks like.
Read moreOutlet Data Maturity Model for Consumer Goods Companies
A structured framework for assessing your organization's outlet data capability across five dimensions: collection, quality, harmonization, enrichment, and activation.
Read moreSee mdcpg.ai in Action
Schedule a personalized demo tailored to your specific outlet data challenges. Our solutions engineers will walk you through a live environment with data patterns from your category.
- Response within 1 business day
- Talk directly with a solutions engineer
- No spam, no aggressive sales tactics
Contact Us Directly
Reach the right team directly — we'll respond within one business day.