Save time from manual data entry and automate inventory management processes to reduce costs, increase sales, and optimize inventory levels.
Automate processes that are driven by spreadsheets and prone to human error.
Utilize forecast methods based on factors such as historical trends, seasonality, and recent sales velocity.
Customize forecast assumptions to account for scenarios not captured by historical trends.
Account for product differences in seasonality, historical demand trends, vendor lead time, and target inventory level.
Determine optimal replenishment details and timing for upcoming purchase orders.
Save any notes helpful for planning purchase orders or understanding assumptions.
Customize assumptions that impact discount amounts and the number of SKUs discounted.
Adjust discount requirements by product collection to account for differing sales trends.
Automate price adjustments so that discount amounts decrease as inventory levels improve.