The urgency of accurately forecasting consumer demand has been shoved into the spotlight by COVID-19, and both retailers and CPGs are powering through the pandemic with a renewed focus on intelligent analytics.
Implementing a short-term forecast is fundamental in understanding and predicting cha
From AI/ML-powered smart factories and supply chain to data-driven marketing and personalization, AWS has been integrating and building experiences that are impactful for consumer goods brands and consequently, their retailer customers alike.
The ability for retailers and CPG companies to accurately forecast short-term consumer demand and ensure products are available to consumers when they need them most has been thrust to the forefront with the onset of the worldwide health crisis.
Just five short months ago, the consumer goods industry was focused on building a supply chain to support the omnichannel era, focusing on four key areas: demand planning, fulfillment, manufacturing, and last-mile delivery. However, since then the industry has been flipped on its head.
Supply chain practitioners have used sales and operations planning (S&OP) to accelerate, direct and optimize business decisions for the better part of 30 years. However, there is still a wide gap between a best-in-class and the typical S&OP process in place today.
This white paper, developed collaboratively by Consumer Goods Technology and SAS, examines the impact that machine learning and other automation tools are having on success at forward-thinking consumer goods organizations.