Demand for consumer packaged goods changes fast.
Your forecast should, too.
Inaccurate forecasts, delayed visibility, and stockouts can cost you sales – and customer satisfaction – when demand suddenly shifts.
Fragmented data impedes progress
Siloed point-of-sale data from multiple retailers, mismatched SKUs, and manual mapping can cause delays, risks of errors, and creates visibility gaps that ripple across distribution channels.
Forecasts can’t keep up
Traditional monthly planning overlooks mid-cycle events like sudden demand shifts. When viral trends or external disruptions happen, your supply plans are already outdated.
Disconnected systems can slow you down
Email-based workflows and disconnected systems slow down forecasting and replenishment strategies – and increase the likelihood of stockouts and missed service-level targets.
SIGNAL TO SHELF MASTERY:
A CPG guide to ensuring on-shelf availability through precision forecasting
Forward-thinking brands are embracing an outside-in planning approach to overcome out-of-date demand forecasts and stockouts leaving shelves bare. By harmonizing retailer data with typically unmodeled demand signals to your brand’s existing planning and execution systems, e2open enhances your ability to swiftly anticipate market needs and reliably keep shelves stocked.
Connect the data from insight to shelf
With advanced outside-in planning and AI-powered demand sensing, you can connect retailer insights with planning and execution. The result: better forecast accuracy, visibility, and on-shelf confidence.
Turn outside-in planning into on-shelf precision
From data accuracy to forecast precision and inventory optimization, see how outside-in planning on a connected platform delivers on-shelf availability so you can meet service-level targets.
40%
improvement in
forecast accuracy
30%
reduction in
excess inventory
30%
improvement in customer
service levels
Trusted by brands all over the world
Some of the biggest names in CPG and Food & Beverage use our connected supply chain platform to keep their products moving.
“Using retailer data to improve forecasts was a natural extension for us and made easy by having everything on one platform.”
VP SUPPLY CHAIN
Major CPG Company
Forecasting and Inventory Benchmark Study
This study reveals AI’s impact on forecast accuracy and inventory optimization in the face of large-scale disruptions. Learn how consumer goods companies can increase resilience by leveraging AI-driven demand sensing to improve forecast accuracy and better manage stock levels using multi-echelon inventory optimization.
Additional Resources
- Major CPG Company Finds Success with End-to-End Digital Transformation
View the case study - Better Insights for Better Retail
View the infographic - Forecast Accuracy: Why It Matters and How to Improve It
View the white paper - On-Shelf Precision: The Impact of Demand Signals for CPG Brands
Watch the video - How to Improve On-Shelf Availability for CPG Brands
Read the article - Enhancing NPI Forecast Accuracy with AI Technology
View the case study
