Automated self-learning platform
Next generation intelligence that interprets data and learns from selling patterns to automatically recommend and adjust future order plans and forecasts.
The smarts //
Q is different from other forecasting and order planning/warehouse replenishment systems because it doesn’t rely solely on history. Instead it interprets and self learns at the SKU/location level in order to automatically adjust to selling patterns. The system also has the smarts to take input of actual weather forecasts to understand the effect that weather has on sales, deriving much more accurate representations of local demand based on the influence of weather.
Consistently better forecasting, month after month //
As Q learns why products behave the way they do, when customers make different types of purchases, what items perform similarly, what products perform most successfully and what products bring a category down – it will create consistently better forecasting, month after month.
Continuous Visibility //
Users are able to track stock, service level, price, promotional history, weather and over 30 dimensions of product behavior in Q’s continuous time environment, allowing users to scroll back in time or predict future performance. Performance of past behaviors, promotions, events, weather, etc. can impact the forecast at any level of the product or location hierarchy for any time period in the future. Users can easily navigate from local category to store to cluster to global chain in all one screen. Easily export reports in any format. Customize users from store manager to merchandise planner to senior executive. Allow Q to automatically make decisions based on strategies and rules, alert for approval or manually override decisions by sku, category, store, or cluster, so users can have as much or little control as necessary. Always know what’s coming up.
The intelligence to make the right decisions //
The result is better visibility to areas where forecasters and order planners can proactively impact results and, of course, better inventory flow. Q uses the forecast to optimize inventory, from order through to store, with a focus on meeting a retailer’s business, merchandise and financial objectives. In this way the retailer is presented with the best decision based on information about product and place. Q can also run test-scenarios and if these produce a better result it will switch to the most optimal decision, based on profitability and customer service levels. Always know what’s coming up with Q: Forecasting and Order Planning.
