CPG companies are increasingly harnessing growing volumes of consumer data through online marketing and direct-to-consumer sales platforms. These companies can enhance their trade promotion activities through artificial intelligence and machine learning, but they must collaborate with retailers. Together, the two can better identify ineffective promotions, forecast more accurately, and optimize promotions to generate an optimal sales fit.
Forecasting CPG Sales on the Amazon Channel Behemoth
on October 25, 2019
| By Jasneet Kohli & Arash Sangari
|
Demand Forecasting,
CPG,
Omnichannel,
Amazon
Consumer Goods industry is still adapting to the new rules of the game that are being set by Amazon and other e-commerce players. CPG companies' online channel is rapidly growing with 43% of CPG’s revenue growth already being driven by ecommerce and online sales expected to double in next five years.
VIDEO: Using artificial intelligence to predict demand can positively impact consumer behavior
on September 5, 2019
| By Antuit Insights
|
Demand Forecasting,
Video,
Retail,
Artificial Intelligence,
Demand Planning
Antuit's Senior Vice President of Global Business Development, Steve Gordon talks about using Artificial Intelligence to drive shopper frequency, basket size, and incremental consumer behaviors.
Meeting Demand: Advancing Your Retail Supply Chain
on December 3, 2018
| By Antuit Insights
|
Demand Forecasting,
Digital Supply Chain Analytics,
Demand Analytics
Retail supply chains have grown more and more complex, and companies must have end-to-end supply chain visibility to prepare for unexpected changes in demand. As such, retailers should explore practical, relevant ways to predict demand, while continuing to deliver quality, omni-channel consumer experiences.
How Behavior Change Within the Enterprise Can Mitigate the Bullwhip Effect
on November 12, 2018
| By Hannah Smith
|
Demand Forecasting,
Digital Supply Chain Analytics,
Demand Analytics
In 1956, considerable fluctuations in production, inventories and profit baffled managers in General Electric’s household appliance division. Despite supervisory efforts, the variations endured. Traditionally, managers blamed these types of fluctuations on external causes, like business cycles.
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