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.
Coca-Cola is bringing contactless pouring to its Freestyle beverage machines.
Using any smartphone, consumers can choose and pour a drink from their phone by holding their camera up to a QR code on the machine’s display.
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
Whether buying through retailers, or directly from brands, personalized experiences are proving to be a key ingredient of stronger consumer brand loyalty, and sustainable growth - whether that’s personalizing product recommendations, the products themselves or marketing content.
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.
Modular living-produce farms installed in stores will provide customers with hydroponic produce right at the point of purchase. They will use internet of things and machine learning technologies to improve efficiency and allow for cloud-based monitoring.
The biggest unknown is whether there will be a delayed economic recovery or a prolonged contraction. Regardless of the outcome, retailers and their CPG suppliers need to think ahead and be prepared to act quickly.
As consumer goods brands prepare to navigate the imposing frontier of a post-COVID-19 marketplace, the opportunity to re-assess and update a brand’s traditional approaches to marketing has never been more critical.