Watch How a Retailer Transformed Pricing Accuracy with AI
Video Summary
In this clip, Lori Schafer shares how a retailer discovered that what seemed like a pricing optimization issue was really a data challenge. By applying AI-powered auto-attribution, the retailer reduced manual effort, improved pricing accuracy, and unlocked faster optimization.
Key Takeaways
Pricing problems often stem from attribute management, not just optimization models
Manual attribute work can frustrate teams and slow decision-making
AI-enabled auto-attribution streamlines the pricing process
A strong data foundation enables smarter pricing strategies across the enterprise
Automating attributes improves accuracy and saves significant time
Video Transcript
I think of another example with a Large Retailer. They believed they had a price optimization problem. But the real challenge was the frustration their teams faced with all the time spent trying to figure out attributes in the pricing system.
By bringing all the pieces together, we were able to automate attribution for pricing and then apply price optimization. That change has saved them an enormous amount of time and improved the accuracy of their pricing decisions.