Optimize Sales Operations with Predictive Ordering

Speakers: Kraig Alexander, Harsh Dewan

Learn how more than 10,000 sales associates for one of America’s largest bottlers have come to use Artificial Intelligence (AI) every day, making their selling operations more effective.

Using AI-based predictive ordering, this distributor is saving up to $60 per store every month as a result of reducing store visits, repurposing their time to sell more, increasing stops and orders per day, reducing reliance on contractual labor, and improving business continuity.

In this sponsored BA Collab Hour presented by Quantiphi, uncover this journey, and how you can bring home this advantage.

Kraig Alexander, Global Director of Sales

Quantiphi

Kraig Alexander has over 20 years of Business Development and Global Account Management experience with large U.S., multinational corporations and startup ventures. Kraig has partner development and go-to market (GTM) experience launching new products and selling enterprise software, including artificial intelligence (AI) and machine learning (ML) demand forecasting, predictive and computer vision solutions, process mining, and data analytics.

Harsh Dewan, GTM Lead - Warehousing & Distribution

Quantiphi

Harsh Dewan leads the go-to market (GTM) function for the warehousing and distribution business at Quantiphi. He brings with him close to 15 years of experience in the fast-moving consumer goods (FMCG) and beverage industries, working in various roles in sales, analytics, and consulting. He has proven success stories of working with Fortune 500 companies in the beverage industry like Coca Cola and Diageo, solving business problems through data analytics. Harsh holds an MBA in Marketing and a Bachelor's Degree in Computer Engineering.