Al EngineeringEnterprise SystemsTech Transformation
Victoria's Secret
Infinite Locus built a custom AI demand forecasting tool that cut Victoria's Secret planning time by 50% and lifted forecast accuracy to 90%.
AI EngineeringEnterprise SystemsTech Transformation
One of the world's most recognised fashion brands, operating across 1,400+ stores in 50 markets with $7.1B in annual revenue.
SCROLL MORE
- 50 %reduction in planning time
- 73.2 %forecast accuracy
- 500 +Seasonal adjustments per line plan, automated
The Challenge
Before · Zero stateA unique problem for all locations
Victoria's Secret ran its $7.1B global business on disconnected spreadsheets and systems, causing inventory imbalances across markets.
Go-Live: Oct 10, 2025 / Non-negotiable
/ 01
Forecasting built by hand from incomplete data, frequently wrong
/ 02
Too much stock in the wrong places, not enough in the right ones
/ 03
Real estate, supply chain, and planning teams operating without a shared source of truth
The Challenge
A unique problem for all locations
Victoria's Secret ran its $7.1B global business on disconnected spreadsheets and systems, causing inventory imbalances across markets.
Go-Live: Oct 10, 2025/ Non-negotiable
/ 01
Forecasting built by hand from incomplete data, frequently wrong
/ 02
Too much stock in the wrong places, not enough in the right ones
/ 03
Real estate, supply chain, and planning teams operating without a shared source of truth
Our Role
Building on legacy tech that could support global growth
IL delivered four programmes in sequence, each one removing a different layer of operational friction, with every phase building the foundation for the next.
A
An AI forecasting model learning continuously from sales patterns by week, region, store tier, and season.
B
A full migration from legacy real estate and project systems to a unified enterprise platform.
C
Automated replenishment with global phased rollout, replacing manual allocation decisions with live inventory signals.
D
A complete point-of-sale overhaul replacing a legacy system with a modern, modular interface built for scale.
Our Role
Building on legacy tech that could support global growth
IL delivered four programmes in sequence, each one removing a different layer of operational friction, with every phase building the foundation for the next.
A
An AI forecasting model learning continuously from sales patterns by week, region, store tier, and season.
B
A full migration from legacy real estate and project systems to a unified enterprise platform.
C
Automated replenishment with global phased rollout, replacing manual allocation decisions with live inventory signals.
D
A complete point-of-sale overhaul replacing a legacy system with a modern, modular interface built for scale.
Our Impact
50%Reduction in planning and procurement timeReduction in planning and procurement time
73.2%Accuracy on sales forecastsAccuracy on sales forecasts
500+Seasonal adjustments per line plan, handled automaticallySeasonal adjustments per line plan, handled automatically
MillionsIn surplus stock that never reached clearanceIn surplus stock that never reached clearance
Planners didn't lose their jobs. They got better ones. From building plans by hand to making decisions in real time.
Planners didn't lose their jobs. They got better ones. From building plans by hand to making decisions in real time.
Technology is a tool built to support not replace.