How Leading B2B Firms Are Embedding Adaptive Pricing to Win in Volatile Markets
B2B manufacturers are leaving static price-books behind, turning to adaptive pricing strategies to win in volatile markets. But tech alone isn’t enough. Success hinges on sales trust, transparency, and cross-functional agility.
Sometime between the first inflation shock and the third round of “emergency” pricing meetings, annual price-books became a relic for many manufacturers. They haven’t disappeared entirely—some teams still cling to them, more out of habit than conviction. The backdrop is familiar: volatile costs, raw material swings, currency dips, and a sense that pricing “relevance” now measures in weeks, not months. What emerges instead isn’t a clean replacement. It’s a messy web of dynamic adjustments, patchwork pilots, and half-settled debates about how much automation is too much, and whether anyone on the front line actually trusts what the system spits out.
Mitchel D Lee (Profit Evangelist, Vendavo) points out the risk of waiting for the annual cycle: “Every time a competitor adapts to a cost swing in days while you’re stuck negotiating for weeks, you lose margin and credibility.” Yet he stops short of implying every firm can—or should—flip a switch. There are still plenty of operations where static lists run in parallel with experimental dynamic engines, each with its own camp of advocates and skeptics. In Lee’s view, the lesson isn’t about declaring an end to annual pricing, but about reimagining pricing as a living, adaptive system, shaped by whatever data or process integration you can actually sustain.
This isn’t just about ill-fitting tech…
Technology is the obvious headline. But Lee’s take complicates things: “Tech is only as good as the plumbing behind it.” Without end-to-end integration, CRM, ERP, e-commerce, demand and cost feeds, the cleverest AI engine just shuffles numbers in isolation. Studies have shown that organizations pouring money into pricing technology don’t always see results until they resolve process and data gaps between systems—sometimes those gaps run deeper than anticipated (Simon-Kucher & Partners, 2025; McKinsey & Company, 2018). In one electronics business, real-time pricing updates encountered a barrier when data from the order system lagged by days, so field teams were quoting prices based on outdated numbers (Copperberg, 2025).
Sales adoption remains the pivot point. “You can automate the perfect price,” Lee notes, “but if your team can’t explain it, or doesn’t trust the number, they’ll override it every time.” It’s not a new dilemma. The friction between algorithmic pricing and human sales culture is the quiet subplot in every case study. Some organizations invest in detailed sales enablement—building rule transparency, launching workshops to walk through scenario logic, even letting sales push back on initial recommendations. Others, pressed for time, roll out systems with little context and find themselves fighting a wave of manual overrides and quiet sabotage. The difference isn’t always leadership philosophy. Sometimes it’s simply bandwidth, or how many market shocks a company has already weathered that year (Simon-Kucher & Partners, 2025).
"Companies that treat pricing as a set-it-and-forget-it engine will always lag behind those who treat every price as a decision-in-progress..." - Mitchell D. Lee, Vendavo
Transparency emerges as a necessary, if imperfect, salve. Buyers now expect—sometimes demand, an account of why prices shift. Lee and others in his orbit emphasize fairness constraints, not just as a safeguard for customer relationships but as internal guardrails too.
Price corridors, index links, rollback protocols—these aren’t just compliance measures, but narrative tools. The point isn’t to eliminate all pushback. “The winners,” Lee suggests, “are those who can articulate not just what the price is, but why it moved.” Still, even with best practices, customers get anxious. Some call dynamic pricing “gouging” when volatility works against them. No script soothes everyone (Simon-Kucher & Partners, 2023).
Industries that move fastest into adaptive pricing—chemicals, metals, some distributors—do so because they have to. Formula-based, index-linked approaches get wired into the pricing engine, but that’s not the end. A distributor might recover a margin point on paper from a 1% real-time adjustment, but then spend weeks debugging why win rates dropped in one region or why inventory piled up in another. It’s rarely clean. Every system rollout seems to surface a different “edge case,” whether that’s a key account on a fixed contract, or a field sales manager who refuses to use the new tools.
Mindless Tinkering = Messy Outcomes
Experimentation has become habit, not a project milestone. Firms run A/B tests on pricing rules, continuously test elasticity, and often roll back changes just as quickly as they push them out (Barua & Kaiser, 2024). Lee observes that dynamic pricing is less about engineering a perfect model than about building institutional muscle for rapid change. Audit trails, change committees, microservices that allow tweaks at a granular level, all of these matter, but so does a tolerance for confusion, backtracking, and occasional stumbles.
What keeps the whole system from coming apart is not just discipline, but cross-functional governance that tolerates ambiguity. CRM-ERP integration, pricing operations, and customer-facing roles have to move in sync, or at least negotiate their boundaries on the fly.
In Lee’s words: “Companies that treat pricing as a set-it-and-forget-it engine will always lag behind those who treat every price as a decision-in-progress.” This isn’t simply an appeal for agility; it’s a recognition that volatility isn’t going away, and neither is organizational inertia.
Recent research complicates the picture further. Simon-Kucher’s 2025 study claims agile pricers see margin gains near 9%, but internal audits across multiple sectors keep finding high override rates where trust is low or communication falters. McKinsey’s 2018 review points to the centrality of human elements—change management, incentives, and the nuts-and-bolts of internal storytelling. What’s less often captured is the attrition among pricing teams, or the fatigue that comes from constant adjustment.
A final provocation: Adaptive pricing isn’t a finish line. It’s a culture, one that has to live with contradiction and drift, especially as new market shocks test the system. Lee is candid on this point: “If you think you can set a price and walk away, the market will set it for you.” For now, every new wave of volatility will reveal how far firms have come—and how much further they have to go.
