True Demand: The Difference between Assuming and Knowing

Discover the hidden culprits lost in high-level retail reports

When sales and supply chain visibility stops at the retailer or DC level, it can lead to empty shelves and poor service levels. Sell-in data is only a proxy that doesn’t capture actual purchases or true unconstrained demand.

Without a granular approach to understanding inventory and sales, down to individual SKUs and stores, you can think your operations are running efficiently. But do you know if you’re actually meeting demand everywhere it exists?

Download the guide to learn:

  • The problem with relying on average in-stock and on-hand levels
  • Requirements for effective root cause analysis to prevent recurring issues
  • How one of the world’s largest CPG brands went beyond “treating the symptom” to fix the real problems causing out-of-stocks


Related resources


Press

Alloy.ai Partners with WM Barr to Transform Its Sales Capabilities and Retail Relationships

Alloy.ai software will help WM Barr automatically aggregate and find insights in their retail sales data, predict new sales opportunities and respond to changes in...

Visit site
Guide

Get More Out of Your Kroger 84.51 and Market6 Data

How automation and advanced metrics you won’t get in 84.51° can help you grow your sales at Kroger and avoid inventory headaches.

Read now
Customer Stories

Alloy.ai Drives 35% YoY Forecast Accuracy Improvement at Ember

Alloy.ai’s software also helps Ember drive inventory efficiency, scale its access to retail point-of-sale data, and align internal functions around a single source of truth...

View