The AI solution for inventory planning

We have the key insights to determine the ideal assortment breadth and depth to satisfy every customer segment, optimize margins, and reduce overstock.

The solution for the world’s best planners

We made the dream of the most demanding retail planners a reality

Commercial Financial Planning

Sales planning is fully connected to assortments, providing you with an AI-driven automated revenue suggestion for all channels and points of sale, which can be adjusted according to your criteria using either top-down or bottom-up approaches.

Merchandise Planning

Build a structured sales and purchasing plan by product family aligned with financial objectives, ensuring consistency between revenue targets, product strategy, and inventory investment.

Build the optimal assortment based on consumption patterns

We recommend assortments based on forecasts, considering breadth and coverage to ensure every store has the ideal assortment.

Purchase List

OTB Based on Plan vs Forecast

With the approved plan and defined assortment, you will receive automatic purchase suggestions by model and size, considering all the financial objectives of the budget. Your buyers will be fully aligned with the approved plan.

Weekly Sales Stock & Intake

WSSI enables a daily review of the plan, allowing teams to make strategic decisions regarding overall inventory behavior during the trading period and quickly react to any deviation from the forecast. It supports an action-oriented strategic management approach that ensures effective control of sales, margins, and inventory turnover.

New Introductions – NOOS

Control the transition of new introductions while ensuring inventory renewal for the next season.

Old Collection

Ensure markdown management to maximize Gross Margin while avoiding overstock.

Spring 20%

Summer 40%

Fall 45%

Winter 65%

Old Collection

New collection

65%

45%

40%

20%

NOOS 15%

Cluster A

Strategically distribute according to store potential

Calculates how to distribute inventory across stores according to their profile and forecast demand, maximizing turnover, reducing imbalances, and avoiding transfers during the season.