Converting Fragmented Sell-Thru Data into Quantifiable Operational ROI.

30-min technical discussion, not a sales call

Manufacturers and distributors operate on siloed, complex data—from distributor sell-out and inventory by DC to revaluation of direct accounts. We specialize in architecting the data foundation and AI frameworks that rationalize this complexity, turning raw, unstructured sales data into immediate, shared, and measurable business action.

Data Strategy

The Challenge:
The Data Divide

The gap between sell-in (what you ship) and sell-out (what the customer buys) is where profit, inventory accuracy, and forecasting precision are lost. Legacy systems and manual reconciliation fail to achieve two critical goals.

Unified Visibility

You lack a single, structured view across all distributor and manufacturer data sources to identify inventory imbalances and revenue risks.

Predictive Capability

Without a rationalized data structure, you cannot deploy AI-driven capabilities like vendor-managed inventory (VMI) or automated restock programs.

Our Expertise

Structured Data Rationalization

We bring the expertise to clean, structure, and unify your most complex CPG and distribution data at scale

1. Structured Data Normalization at Scale

Our methodology rapidly rationalizes data structures from unlimited sources into a common schema. This process occurs at scale, regardless of data source or volume, providing immediate business benefits by transforming Time and Cost into actionable insights.

We leverage advanced methodologies—akin to a Key Considerations Engine—to define new, custom measures, performance indicators, and insights for your specific role. Our experienced operators first identify potential insights, validate them with real-world data, and then automate them to operate at enterprise scale.

We help you define and deploy automated capabilities relevant to your business team, such as:

  • Inventory by Product SKU and DC location.
  • Revaluation of Direct Accounts and Distributor Sales Velocity.
  • Logistics efficiencies based on order patterns.
     
     

Strategic Use Cases

Real-world impact for Manufacturers and Distributors.

Manufacturers

Optimizing Discounts

Identify when a program is yielding no incremental volume, allowing you to reallocate budget and avoid unnecessary discounts

“Thanks to the data available, we were able to see when there was no incremental volume on a truckload program. This saved us about $500k.”

— Head of Marketing

Distributors

Working Capital

Gain immediate visibility into inventory health to improve procurement and service levels.

“I love the solution. We have been using it to improve working capital, improve procurement, and improve service levels.”

— Supply Chain Director

Both

Operational Efficiency

Easy integration and data sharing between manufacturer and distributor lead to improved production schedules and higher fill rates.

“We have reduced our overall operating costs because of what the tool provides us.”

— Distributor COO

Ready to transform your digital
experience?

Our approach to AI is grounded in practicality. We focus on implementing targeted AI solutions that solve specific, high-value business problems, turning complexity (data, technology, process) into automated processes and actionable strategies.

 

A complimentary, no-obligation strategy session to discuss your specific data challenges.