Demand Forecasting

Grocers must create a holistic view of consumers by orchestrating data-driven insights to feed demand-planning analytics that increase relevant recommendations, promote in-stock merchandise, and improve customer satisfaction. These are the steps grocers can take.

Reinventing the supply chain is underway — RIS explores how artificial intelligence, machine learning, and automation are sculpting new supply chain models in this interactive report.

Using “lift-and-learn” technology, consumers can obtain information about Unilever products by touching or lifting them off the end cap — without having to scan a QR code, touch a screen, or download an app.

Benchmark your organization’s tech maturity against more than 80 distinct retail solutions. Discover where your peers are making significant tech investments and what you need to do to keep pace.

Dick’s Sporting Goods is leveraging its store investments to communicate product demand levels with suppliers in a new way, as well as investing in machine learning models to predict store sales down to the SKU level.

Learn how PacSun elevated the customer experience while improving profitability by better anticipating online demand.

Industry insider Justin Honaman gives his annual take on the top trends to watch in the New Year.

To meet shopper expectations and deliver a seamless customer experience across all advertising channels — including in-person experiences — retailers should consider Audio-Out-Of-Home (Audio OOH) to complement their retail media strategy. Here are 3 reasons why.

When the COVID-19 pandemic hit the world, retail supply chain executives came to the painful realization that traditional forecasting models based on historical sales data were insufficient in predicting sales and demand.