The Sizeo Difference
Today’s retail environment is constantly evolving and increasing the complexity of inventory execution. Sizeo’s solutions, built with pragmatic AI and advanced ML, are essential to managing your retail operations with accuracy and confidence.
Retail Expertise
With deep experience across retail strategy, operations, and technology, the Sizeo team has a proven track record of successfully transforming how retailers operate.
Ready for Next
Adaptable and flexible SaaS technology enables Sizeo to efficiently provide new functionality that solves for emerging challenges.
Customer First
We put our customers at the center of everything we do. Together, we’ll partner to ensure our solutions meet your inventory management needs.
Incredible Time to Value
Sizeo consistently deploys our solutions faster than the competition. Our low-touch solutions accelerate adoption, while AI and ML rapidly identify areas opportunity.
Leading AI & Machine Learning
Sizeo's AI technology reviews every profile to safeguard that data and algorithms won't generate a size curve that's unlike anything experienced across your products and selling locations. ML and Intelligent Automation execute the details, while keeping analysts informed through recommendations and alerts.
Real-time size profiles for buying and allocating
Store volume indexing to establish localized distribution and buy quantities
Recommended case pack configurations with quantities optimized to vendor constraints
AI-Driven recommendation, auto-approvals, and alerts
Size Profiles
Built Better
Sizeo’s proprietary logic generates a unique profile for each style/color/selling location. Our unrivaled approach leads to stable, accurate profiles that are extremely predictive of localized size demand.
Augmented Sales
Demand Shifting and Curve Smoothing transform historical sales into the best possible data
Custom
Algorithms
Algorithms search across the product hierarchy and attributes to identify statistically relevant size patters
User
Customization
Users manage business parameters and solution settings to influence executional outcomes