Challenge
In day to day interactions with installers, sales representatives in the SHP wholesale market often face a familiar challenge: conversations quickly narrow to availability, delivery issues, or price, leaving little room to explore broader needs or development opportunities. While experienced reps know what a strong conversation should look like, consistent preparation and deliberate practice remain difficult in a fast paced sales reality.
Approach
To address this gap, a leading SHP wholesaler used AI in Sales by introducing an AI-based Sales Coach as a practical tool to support sales representatives before and between customer visits. This AI Sales Coach was designed to help reps practice critical installer conversations in a low risk environment. focused explicitly on moving discussions from transactional exchanges to more structured, value oriented dialogue.
Sales representatives used this application of AI in Sales to rehearse realistic installer scenarios: opening conversations with intent, asking sharper diagnostic questions, positioning value beyond price, handling objections, and guiding discussions toward next steps. The AI adapted to different installer types and conversation paths, providing immediate feedback on structure, clarity, and focus, allowing reps to repeat, refine, and improve at their own pace.
Crucially, the Sales Coach was not positioned as a standalone use case of AI in Sales. It was embedded into an existing leadership and coaching framework, using the same conversation logic and language applied in manager coaching sessions and cadence meetings. This ensured alignment between individual practice, field application, and leadership feedback—creating one coherent learning loop rather than parallel initiatives.
Results
The impact was quickly visible in the field. Sales representatives came into installer meetings better prepared, demonstrated higher confidence in leading conversations, and more consistently uncovered relevant needs and development opportunities. Even under challenging market conditions, targeted installer segments showed stronger engagement and above average growth.
What made the difference: AI supported deliberate practice, realistic conversation scenarios, tight integration with leadership coaching, and a clear focus on improving the quality of installer conversations.
