How does Suggested Order simplify in-store ordering in smarter ways?
Suggested Order simplifies in-store ordering by predicting the next right order for each outlet. It utilizes AI and machine learning to identify the best products (SKUs) automatically, optimizing sales representatives' time and ensuring that outlets have the right inventory at all times.
How does Suggested Order use AI for demand forecasting?
Suggested Order leverages advanced AI models for demand forecasting. These models consider historical data, market trends, and other factors to generate accurate predictions of future demand.
How does Suggested Order lower tertiary denials?
Tertiary denials, caused by inadequate stock levels, are reduced with Suggested Order. By ensuring that outlets have the right products in stock, minimizes denials and enhances customer satisfaction.
How does the Suggested Order improve demand estimation?
Suggested Order improves demand estimation by analyzing various data points to predict future sales accurately. This enables businesses to align their inventory with customer demand.
How does Suggested Order increase line placement?
By recommending the best SKUs for each outlet, Suggested Order increases the likelihood of these products being ordered. This leads to increased line placement and a broader product range available to customers.