Smarter Pricing, More Margin

A consumer manufacturer was leaving money on the table with gut-feel pricing and slow-to-market incentives. OnTrac built an AI-powered pricing intelligence system that optimized profitability across the distribution channel. 

The Challenge

Pricing decisions were being made on instinct rather than data. Incentive programs produced mixed results, and the team had no reliable way to measure which ones were actually moving the needle. The manual process for setting and adjusting prices was error-prone, creating real cost exposure when mistakes made it to market. On top of that, getting new incentive structures approved and deployed took weeks, by which time competitive conditions had often already shifted. 

What OnTrac Built

OnTrac built an AI-powered pricing intelligence system that combines historical analysis, competitive monitoring, and automated safeguards to make pricing faster, smarter, and less risky. 

• Deployed a conversational LLM interface that lets pricing teams query historical incentive performance in natural language 

• Integrated competitive pricing monitoring to track market conditions and inform positioning decisions 

• Built automations and validation controls that catch errors before they reach the market, reducing cost risk 

• Streamlined the incentive deployment process so new pricing gets into the dealer channel faster 

What changes when pricing decisions are grounded in data instead of instinct?

The organization is projecting tens of millions in additional margin from more precisely targeted pricing. Products are moving faster through the dealer channel because incentives are calibrated to actual market conditions rather than guesswork. And because new pricing can be deployed in days instead of weeks, the team can respond to competitive shifts while they still matter. The combination of better data, fewer errors, and faster execution created a compounding advantage that scales with the business.