End-to-End Pricing Transformation: ~$46M in Upside and 200bps of Margin

A ~$3B industrial equipment manufacturer was leaking margin through 45,000+ price points, with 80% of its business on “special prices” and an eight-week cycle to change list prices. Ayna Forge rebuilt their pricing end to end: architecture, incentives, governance, and a suite of AI tools running on the systems already in place. This surfaced ~$46M in pricing upside and roughly 200 bps of margin and made the company easier to do business with.

Context: the highest-leverage lever, buried under complexity

Pricing is the most powerful profit lever an industrial company has, and the one most often left alone until complexity buries it. A price increase carries almost no incremental cost, so most of it drops straight to the bottom line.

Bain & Company’s analysis of dozens of B2B companies found that every 1% improvement in realized price delivers roughly an 8% increase in operating profit, about twice the benefit of a comparable gain in market share, variable costs, or fixed-cost utilization. That leverage only helps a company that can set, release, and hold its prices. In many industrials, decades of layered discounts and special deals have broken the link between the list price and the margin that actually lands.

Gap: 45,000 price points and eight weeks to change one

This ~$3B manufacturer runs multiple product lines and business units, roughly 20,000 SKUs, and more than 45,000 special price points. Fewer than 20% of those prices were actually in use. Years of inconsistent list prices, discounting, and layered incentives had produced serious margin leakage. Only 50 to 60 cents of every dollar of intended price increase was reaching the P&L.

The complexity also made the company hard to buy from; roughly 80% of revenue ran on special prices. Pricing mistakes and purchase-order holds dragged down on-time delivery. Releasing a new price took about eight weeks of manual work, so the business was always pricing behind the market and behind inflation.

What we built: an end-to-end pricing reset, enabled by AI on existing systems

Ayna Forge ran the work as five connected workstreams across three phases, define, reset, and sustain, rather than a one-time reprice:

• Pricing architecture reset: Standardized list prices, discounts, and net pricing across all product lines, using competitive benchmarks to rebuild a coherent portfolio hierarchy and price ladder.
• Incentive redesign: Simplified distributor stocking discounts and moved the business from fixed special pricing to structured, back-end incentives that reward the right behavior.
• SKU- and segment-level repricing: Repriced 20,000+ SKUs and mapped roughly 400 distributors into clear pricing segments to cut leakage and improve consistency.
• Governance and cadence: Established weekly price-realization reviews, dashboards, and root-cause (RCCA) loops to enforce discipline and compliance, so gains hold instead of eroding.
• Digital enablement: Deployed a suite of AI tools (Price Lens, Price Grader, Deal Grader, and Competitive Intelligence) plus configurator tooling, for faster quoting with better guardrails at scale.

The tools were built on the systems the company already ran. The dashboards and pricing engines read from the existing commercial stack and put recommendations inside the workflows teams already use. There was no rip-and-replace and no parallel system to maintain.

The last mile: governance that makes discipline stick

A reprice that no one enforces erodes within a quarter. The real challenge was not resetting prices once, but building a capability the commercial team could sustain on its own. Weekly realization reviews, live dashboards, and RCCA loops established a consistent operating rhythm, giving the commercial team both the visibility and the accountability they needed. However, guardrails kept discipline high without turning every quote into an approval queue.

For that discipline to last, the tools had to earn the trust of the people using them. Deal Grader and Price Lens show the recommended price along with the reasoning and the root cause of leakage on each transaction. That gave sales reps the confidence to defend their pricing with customers instead of relying on instinct or exceptions. The change in behavior proved durable: the top 15 distributors converged on a single price per SKU, special pricing requests fell by more than 70%, and the customer experience improved rather than suffered.

The impact: ~$46M and 200 basis points of margin

The program identified $46M of pricing actions for FY26, up more than 10% up year over year. That came from an inflationary offset ($19M), optimization and alignment ($18M), and carry-over actions ($9M). Together, these initiatives delivered roughly 200 basis points of gross margin improvement and drove a year-over-year price impact of more than 12%.

The operating improvements were just as significant as the financial results. Realization against announced prices climbed to about 90%, up from the 50 to 60% the business had lived with, and pricing complexity fell by roughly 60%. Rather than delivering a one-time price increase, the company built a pricing capability that could operate with discipline, move quickly, and sustain performance over time.

The final word

Industrial AI rarely falls short because the model is weak. More often, it stalls in the last mile between a successful deployment and a lasting change in how the business operates. This company closed that gap in pricing, uncovering approximately $46 million in value, adding 200 basis points of gross margin, and making the buying experience simpler at the same time.

Pricing is only one lever in the P&L, but the broader lesson extends well beyond commercial excellence. AI creates value when it is applied to a specific margin level, built around the realities of how the operation actually works, and carried through until the capability becomes part of the way the team runs the business every day.