When Pricing "Works" But Doesn't Scale: How GMES Regained Control

Profile

Green Mountain Electric Supply is a multi-branch electrical distributor operating in a high-volume pricing environment. The company serves commercial and residential electrical markets across multiple locations.

GMES reached a familiar inflection point: their pricing system relied heavily on overrides, manual adjustments, and item-level premiums that obscured pricing logic and made consistency difficult to maintain. Increasing complexity introduced risk of sell group and pricing structure proliferation, while margin performance quietly eroded through exception-based decisions.

At the same time, GMES faced a critical constraint: they needed to transition away from their existing approach without disrupting sales or risking gross profit. As Kevin noted, “The old approach worked, but it was getting harder to manage as we grew.”

The Challenge

• Pricing relied on overrides and manual adjustments • Item-level premiums obscured pricing logic • Risk of sell group and structure proliferation • Margin erosion through exception-based decisions

The Turning Point

GMES faced a critical constraint: they needed to transition away from their existing approach without disrupting sales or risking gross profit. Pricing outcomes remained acceptable on the surface, but the system behind them was becoming harder to control and defend.

Rather than continuing to patch an increasingly fragile model, GMES made a deliberate shift: stop managing pricing through exceptions and build a system the business could control and execute consistently at scale. They partnered with epaCUBE to replace their exception-driven approach with a structured, scalable pricing model focused on governance, transparency, and repeatability.

Structured, Scalable Pricing Model

GMES approached execution with discipline, prioritizing low disruption and validated outcomes over speed. The transition followed a structured, project-driven cadence with focused working sessions across pricing, sales, and leadership, controlled testing on a subset before scaling, and decisions based on proof rather than assumptions. This avoided the common “run and gun” pitfalls and eliminated the need for reactive, year-end fixes.

A key component of the transformation was simplifying pricing without losing intent. GMES replaced opaque item-level premiums with a structured approach using sell groups and cell group versions tied to core product status (A/B/C/D). This preserved pricing sensitivity where it mattered while making logic transparent and governable.

Controlled Complexity

Just as importantly, they avoided over-engineering. With epaCUBE’s guidance, GMES made deliberate decisions about where complexity added value and where it created risk — preventing uncontrolled expansion of pricing structures.

Internally, the conversation evolved. Instead of focusing only on margin at the item level, the team could evaluate customer behavior, transaction frequency, and adoption patterns — enabling more precise, data-backed decisions.

Results

The most critical outcome was achieved immediately: no margin regression during the transition. Gross profit held steady and trended slightly upward after accounting for “puffing” impact. Sales teams reported no disruption, with “no noise from the territory managers.” The transition was smooth, validating both adoption and execution.

• Pricing decisions became transparent, explainable, and defensible
• Execution became consistent across branches
• Reduced dependence on overrides in large-customer segments
• Pricing shifted from reactive to continuous improvement

What Comes Next

Today, GMES operates pricing as a controlled system rather than a collection of adjustments. Pricing is governed, not patched. Structures are scalable and manageable. Sales and pricing are aligned around a clear, trusted model. Complexity is controlled rather than expanding.

With a stable foundation in place, GMES is continuing to build on this system by expanding customer segmentation using profitability and cost-to-serve inputs, reinforcing pricing discipline to further reduce override dependence, and increasing visibility into product- and transaction-level behavior, including customer adoption and item velocity.

GMES didn’t need more data. They needed control. They replaced a model built on exceptions and opaque logic with one the business can trust, explain, and scale — proving that pricing transformation can be achieved without putting margin or sales confidence at risk.