Energy Technology Company Grows Revenue with Next Best Offer


Value-Driven Benefits

$61M

revenue uplift

10%

increase in cross sell / upsell

7%

increase in total win rates

Challenge

An energy technology company wanted to increase product upsell and cross-sell across its customer base, but its salespeople didn’t know which accounts to target first.

The sales team had a lot of data to work with, but not enough context. Salesforce was filled with more data on contacts, opportunities, activities, and next steps than the sales reps could make sense of. But the CRM lacked key information such as order fulfillment, payment history, customer sentiment, satisfaction scores, and financial performance—all of which are important for sales targeting.

Because of this, sales people relied on their own judgment, informed by the limited data available in the CRM, to identify customers in need of additional products from the portfolio.

Solution

The company turned to C3 AI CRM for help.

Today, sales professionals benefit from the complete view of customers that C3 AI CRM provides. The application connects to the company’s enterprise systems, including Salesforce and SAP, to access information about order fulfillment, services records, activities, customer communications, and products. The application also integrates external market, commodities, news, and financial information, giving salespeople up-to-date insights into all the internal and market factors influencing their accounts.

C3 AI CRM then triggers AI models to recommend new sales opportunities for each product in the portfolio across the customer base.

C3 AI CRM maintains both the customer data image and the quality of the AI models with the powerful data management and MLOps capabilities the underlying C3 AI Platform.

The result — sellers receive a complete picture of the internal and market factors impacting their customers, along with recommendations that have helped them increase cross-selling by 10%.

Solution Architecture

C3 AI Platform

Proven results in weeks, not years

timeline

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