Augment adapts to each inventory and warehouse

Highly adaptation to each business

Align your inventory with real-time market behavior, essential to capture and respond promptly to changes in sales. Augment automates by considering all your warehouse key parameters.

Purchasing recommendations crafted by factoring in the pivotal variables that steer your business

Classify products into categories based on profitability and sales volume. Identify the most profitable products, those that attract customers in both physical stores and eCommerce.

Supplier filter
Warehouse filter
category-filter
Product-filter
Cutting edge technology
Performance
Efficiency

Performance-based Management

Independent management, forecasting, and purchases for each warehouse.

Selection which part of the inventory to purchase to each supplier.

Consideration minimum order quantities and packaging per SKU.

Configuration of visibility and expiration dates.

Establishinment of predecessors for new products.

Customization of specific purchase periods and delivery times.

Specification of weight and volume per SKU.

Timely delivered orders

Quick perception of changes

By analyzing the latest weeks of data, it adjusts the forecast when significant differences are detected compared to the long-term history. Quick anticipation and efficient response to market fluctuations.

Your data allows us to fit your business model perfectly

The credibility of the results is directly linked to the input data. Augment assists and prepares high-quality data for you to avoid distortions and ensure accurate forecasts.

Flexibility through methods diversification

The wide range of predictive models we use ensures unmatched precision in situations, whether due to market fluctuations or internal business factors.

Retail demand adaptation

Forecasting capability for stores with rotating inventories or promotions.

Augment analyzes promotions and product sales during short-term promotions (up to 60 days). It is ideal for evaluating the performance of one or two-week promotions, whether in online stores or other discounts.

Pre-promotion situation

Estimated sales that would have occurred without the assistance of any promotion.

Cannibalization effect

The scenario is considered where promotional items absorb part of the sales of other products.

Promotional effect

Additional sales are computed based on parameters (duration, discounts, reach...).

Post-promotion

The market saturates, and a decline in sales is expected during a specific period

Explore an optimized working method

Explore all what you can achieve with us