AI-Powered Sales Assistant Case Study
STEP 4: Exploring a New Industry Vertical With his key accounts covered, the rep broadens his view and asks about a specific industry he wants to explore during the trip.
Rep: Do we have anybody in food and beverage?
Agent: Yes, we have several customers in the food and beverage industry. Some nearby ones are Brownsburg Food and Beverage.
The rep asks for more detail, and the assistant delivers a concise but complete account snapshot: annual revenue of approximately $816,000, a recent downward trend of 21%, a moderate churn risk tied to a recent support issue, and a recommended next step — a firewall refresh — to get the relationship back on track.
The rep has everything he needs to walk into that conversation informed, prepared, and with a clear proposal in hand.
Results Four Minutes. A Full Day's Preparation.
The entire interaction — from greeting to sign-off — took under four minutes. In that time, the rep accomplished what would typically require 30 to 60 minutes of manual research across multiple systems: geographic account mapping, churn risk prioritization, root cause analysis, re-engagement strategy, upsell opportunity identification, and revenue trend review. More importantly, the insights surfaced weren't generic. They were specific to each customer, grounded in real order and engagement data, and immediately actionable. The rep didn't need to interpret a dashboard or cross-reference a spreadsheet. He asked questions. He got answers. "Tomorrow I'm going to Indianapolis and I'm going to visit a few customers. I want to get all the information I can get around our customers around there and make some prioritization. So let me ask my agent." — Sales Rep , AI Assistant Agent
Made with FlippingBook interactive PDF creator