Building a Scalable Pricing Intelligence Product

The Challenge

Pricing leaders across a niche industry lacked visibility into competitor pricing patterns, discounting behaviors, and rate volatility. Without a structured way to see how the market was moving, they were left to interpret fragmented signals and act on instinct, which made it difficult to know when rates were drifting out of line or when competitors were quietly repositioning.

The result was reactive decision-making and missed opportunities, with teams responding to changes after the fact rather than anticipating them. In a space that traditionally leaned on intuition, there was no shared, data-grounded view of how prices were actually behaving across the market.

The Solution

We led the end-to-end development of a pricing intelligence platform built to turn scattered market signals into a single, structured view, designed from the ground up around the real questions pricing professionals need to answer:

• Led end-to-end development of the pricing intelligence platform from concept through launch, owning the product direction at every stage
• Designed the product around real user needs drawn from years of direct consulting experience, so each feature mapped to an actual revenue decision rather than a generic dashboard
• Architected backend logic to extract and structure live rate data, turning raw, unstructured market pricing into clean, queryable information
• Built user-facing tools to segment, filter, and analyze price behavior across properties and date ranges, letting users isolate exactly the comparisons that mattered to them
• Integrated real-time visuals and forecasting to surface emerging trends early and enable proactive, forward-looking decision-making

The Results

Within 6 months of launch, the platform was in active use by dozens of pricing professionals, validating both the demand for structured pricing intelligence and the way the product translated that data into everyday decisions.

Users gained the ability to spot underpricing, over-discounting, and category misalignment as they happened, shifting their work from reacting to past results toward managing pricing deliberately and ahead of the market.

Most importantly, the platform demonstrated proof-of-concept for model-based decision making in a traditionally intuition-led space, proving that pricing intelligence could be a product, not just a service.