PepsiCo is one of the world’s largest food and beverage conglomerates, making Pepsi, Gatorade, Tropicana, Lipton, Frito-Lay and Quaker oats. No stranger to using AI and machine learning for its day-to-day activities, PepsiCosays harnessing AI and machine learning is not just a competitive advantage, but a necessity in today’s business landscape.

How exactly does a huge company like PepsiCo harness AI and machine learning to stay up-to-date? Here are several ways:

Snackbot – Snackbot is, you guessed it, a snack delivery robot that can autonomously peddle and deliver snacks and beverages. The result of a partnership with Robby Technologies, Snackbot currently delivers to students in the University of the Pacific campus. By using the Snackbot app, students can order and expect their deliver to over 50 designated spots on-campus, with no additional delivery charge. Snackbot can travel up to 20 miles on a single charge, and can even navigate in the dark, in rainy weather and over curbs thanks to its onboard headlights and all-wheel drive feature.

Machine Learning-enabled Manufacturing – One of PepsiCo’s companies, Frito-Lay, actually uses high-tech lasers to “scan” chips, then “listens” to the sound produced from the laser bouncing off each chip. An algorithm then determines if the sound produced is the type that comes from a chip that passes their quality control systems. Apart from quality control for its chips, Frito-Lay now also uses a camera and a machine learning model to predict each potato’s weight prior to processing, thus making chip production more cost-efficient. By doing this, the company saves as much as $300,000 per production line since traditional weighing elements are no longer needed.

Automated hiring process – PepsiCo now uses Robot Vera, an AI that can conduct initial phone interviews for prospective hires for a diverse range of jobs – from forklift operators, drivers, factory workers and salesmen. An AI developed by a Russian startup called Stafory, Robot Vera helped fill vacancies in Russia by interviewing 1,500 candidates in just nine hours, a feat that would take human recruiters nine weeks to complete.

Consumer insight and data platform – “Ada” is PepsiCo’s in-house AI that combines human insight with algorithms to drive innovation and help make decisions regarding product design, research and product pricing.

Big Data and Analytics platform – “Pep Worx” is a cloud-based data and analytics platform that PepsiCo uses to advise its partner retail stores on the best items for them to stock, where to place them and which promos are the most appropriate and profitable.

To know more details about the various ways PepsiCo uses AI and machine learning, you can read the full story here:  

Leave a Reply