Generate accurate SKU-level order plans for even the most challenging categories with AI-infused replenishment planning
Built on Forecast Right- the most accurate, smart, and retail-native forecasting solution
Unique replenishment algorithms built for retail
Designed for supply chain and demand planning users
Agile and scalable across SKU-category-store-channel
And achieve replenishment excellence
10%
reduction in
inventory costs
75%
reduction in
out-of-stocks
10-30%
reduction
in wastage
99%
shelf-availability
Unleash 1-click AI to Take Replenishment to the Next Level
Forecast Confidently With Proprietary AI
- Generate multivariate forecasting with auto-suggested predictors.
- Create Best-fit ML-based demand modeling with an ensemble of algorithms.
- Embed potential wastage and other key metrics as model selection criteria.
- Go granular and adaptive with forecasts that account for store, category, and channel-related nuances.
- Re-calibrate and perform scenario analysis for validation.
Optimize Replenishment Plans With Curated Algorithms
- Optimize inventory days vs cost optimization with shelf-life, lead-time, expiration date, minimum order quantity, minimum display stock, and standard ordering frequency constraints.
- Configure day-zero predictive alerts on exceptions such as expiration, out-of-stock, overstock, and registration expiry.
- Automatically account for exchange rates, interest rates, and credit periods.
Generate and Visualize Robust Replenishment Plans
- Create a single view of what, when, how to order along with key SKU-level parameters, risk levels, and stock projections.
- Choose risk-level and generate plans that best suit your business.
- Customize outbound integrations and visualization.
Our Customers
Leading retailers and brands across the globe have optimized their supply chain
and merchandise planning and execution with Algonomy.
Take your replenishment planning to the next level with Order Right.
Fill out the form, and one of our supply chain and merchandise experts will get in touch shortly.