Demand Forecasting

With research from our special report on decoding AI as the backdrop, learn how consumer goods companies can overcome obstacles such as dated systems, a lack of visibility, and lagging communications in order to embrace the transformative power of AI.

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RIS and CGT’s annual "Retail and Consumer Goods Analytics Study" benchmarks the retail and consumer goods industries’ analytic maturity and identifies key investment trends. Learn where your company ranks among today’s leaders.

Did you know? Seventy-six percent of supply chain leaders say their supply chain is facing greater and more frequent business disruptions than three years ago.

In a digital-centric world, how customers interact and align with brands is far different — meaning CPG companies can no longer rely on retailers alone for sales and customer feedback. Learn more.

(Not so) fun fact: 63% of organizations cite lack of resilience as a key supply chain gap.

From the supply chain to in-store experiences, businesses need to embrace data, and the tech infrastructure that keeps it flowing in order to increase market visibility, strengthen product innovation, and bolster the consumer experience.

AI is being implemented industry-wide, but there's some confusion over how CGs can best leverage the tech, and if they have the appropriate IT infrastructure to support growth. Read on to understand the potential of AI and learn how CGs are overcoming some of its biggest hurdles.

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.