AI turns your data into demand forecasting advantage

Using machine learning and leveraging contextual data to build models, Symphony RetailAI’s demand planning and forecasting software solution improves forecast accuracy and removes the manual guesswork. This allows you to optimize product availability by decreasing out of stocks, inventory and spoilage, as well as gain a better understanding of sales patterns and anomalies at a more detailed level.

Improvement in forecast accuracy
Reduction in waste
Reduction in manual intervention

Deploy demand forecasting in days, not months, in the cloud

Accurate demand forecasting across all categories, including fresh food, is key to staying competitive, profitable, and increasing sales – all of which are “reflectors” of today’s shopper demand. And, while there is no dearth of forecasting solutions, there is a scarcity of solutions that take into full consideration the complexity and reach of today’s retail supply chain.

Retail-specific demand forecasting that learns, adapts and improves

Machine learning can access a much broader data set, allowing it to find patterns that humans can’t detect. And because Symphony RetailAI specializes in high-volume retail, we know exactly what to train it to look for.

Not only does our demand forecasting solution consider the past, present and future, it also pulls in external variables and contextual data such as calendar of events, seasonality and even the weather to deliver accurate forecasts.

Manage forecasts without an army of demand planners and data scientists

As data availability increases, being able to detect customer purchasing patterns becomes more complex. Yet, your forecasts are only as accurate as the data, models and resources you have to interpret them. So, what do you do?

With Symphony RetailAI Demand Forecasting, you can automate the forecasting process without adding more resources. Using machine learning algorithms that are unique to your specific data sets, the solution delivers significant improvements in forecasting speed, accuracy and efficiency.

Ultra-fresh, hyper-local and customer demand-aware

Fresh categories are your points of differentiation, but hardest to accurately forecast. Leverage the power of AI to make accurate predictions, differentiate your offering and meet consumer demand.

With Symphony RetailAI’s demand forecasting software, you can manage fresh item forecasting, as well as produce daily and intra-day forecasts to support in-store food production services, giving you an unprecedented level of accuracy.

The number one driver of customer satisfaction is ‘in-stock.’ People come because they want to buy what’s on their shopping list.

Louis Penny CIO