Pricing is evolving faster than most teams can keep up. The manual rules, static models, and gut-driven decisions of yesterday are starting to show their limits. So how do you move forward without losing control? Tom Chiles, Director of Product at Vendavo, breaks down the Pricing Methodology Hierarchy, a practical framework to help B2B pricing leaders understand where they are today, what’s possible with AI, and how to take the next step with confidence.
Pricing is changing fast. What used to be a controlled, methodical process is now being reshaped by data, automation, and AI-driven decision-making.
For pricing leaders, this creates both opportunity and tension. The opportunity is clear: better decisions, faster execution, and measurable margin impact. The tension is just as real: How do you evolve your approach without losing control, trust, or explainability?
That’s why having a clear framework matters.
Pricing has always been as much art as science, but the tools available to pricing teams are evolving faster than ever. This Pricing Methodology Hierarchy framework can help B2B pricing leaders evolve pricing in a manner that harnesses complexity and meets the needs of their pricing practices today.
A Mountain Worth Climbing
Before diving into the methodologies themselves, it helps to visualize what pricing evolution actually looks like in practice. This isn’t a checklist, but a progression.
Think of pricing evolution as a mountain. At the base, you have the methods most teams know well. At the summit, you find the methods that deliver the greatest commercial and process gains but also require the most confidence to adopt.
There are four distinct levels:
1. Manual Heuristic Rules-Based Methods
Most organizations start here, and many stay for good reason. The expertise is deep and the trust is high, but the ceiling is real.
This is where pricing feels most controllable, most explainable, and most aligned with how teams have traditionally operated.
Cost-plus, value-based attribution, competitor-based pricing using formulas is base camp. These methods are flexible and easy to justify internally, but they come with real costs: slow setup, management overhead, human error, and rigidity.
2. Assisted Heuristic Methods
The next step isn’t about replacing what works, but about reducing the burden of maintaining it. This is where organizations begin introducing technology in a meaningful way to make pricing logic more scalable.
Here, technology begins to shoulder the burden. Capabilities like price rule inheritance and machine learning-powered price rule recommendations return hours to pricing teams and open the door for non-expert users. You’re still working within rules-based logic, but with significantly less friction. You’ve left base camp, started climbing and are reducing complexity without abandoning what you know.
3. Machine Learning Optimization Methods
This is where the shift becomes more noticeable, and where many teams pause. Moving beyond rules requires new tools as well as a new level of trust in how pricing decisions are generated.
This is where things get interesting and where many B2B pricing teams stall. We need optimization to break from rigid rule sets, instead using machine learning to optimize for specific goals like margin improvement or volume growth. The results can be significant. The challenge? End-user buy-in. Pricing teams accustomed to building equations from first principles can be skeptical of black-box recommendations. Explainability and auditability are critical here, and Vendavo has invested heavily in making this transition manageable.
4. Agentic Methods
At the top of the hierarchy, pricing becomes more dynamic, more responsive, and more embedded into everyday workflows. Technology begins to actively participate in decisions instead of just supporting them.
The summit. Agentic pricing uses large language models as a natural language interface to orchestrate pricing workflows from data to analysis to execution. Vendavo’s new Pricing AI Assistant for example, is a collection of agents that surface regional and customer pricing opportunities and recommend changes. The commercial efficiency gains are enormous.
The main hurdle, as with any emerging technology, is building user confidence.
It’s Not One Size Fits All
One of the biggest misconceptions about pricing transformation is that every organization needs to reach the same endpoint. The most effective pricing strategies are often blended, balancing control where it matters most and automation where it delivers scale.
Not every organization needs to be at the top of the mountain. The hierarchy is a guide, not a mandate. The right level depends on where you are today, your data infrastructure, and your appetite for adoption.
What matters is knowing where you are and understanding what the next step looks like.
Some organizations may split methodology strategies, with 5% of products that make up 80%+ of revenue always set up with highly justifiable heuristic price rules and formulas, and long-tail product prices using machine learning optimization and agentic methods entirely.
The Takeaway
The real value of this framework is in creating momentum. It gives pricing leaders a way to assess where they are today and move forward with intention rather than reacting to change.
The age of AI in pricing isn’t a distant future. It’s a present choice about how much of the methodology mountain you’re ready to climb. For pricing leaders, the opportunity is to honestly assess where you sit today, understand the gains available at each level above you, and start moving.
And to make sure you have the right tools and the right partner for the journey.
Turning Strategy into Action
What makes this shift practical and not just theoretical is the emergence of tools that help teams move up the hierarchy without starting from scratch.
Vendavo’s latest April release of new innovations have shown key advances at several levels of the methodology hierarchy, including a:
- NEW price rule generator – machine learning-driven price rule recommender That rapidly builds price rule equations based on complex pricing strategies like value attribution and competitor-based pricing.
- NEW AI Pricing Assistant – empowering users to accelerate their work and improve margins by identifying margin leakage, exploring commercial insights, running price simulations, and acting on clear, actionable recommendations.
Start Climbing with Confidence
Moving up the pricing methodology hierarchy doesn’t require a complete reset. It requires clarity on where you are, alignment on where you want to go, and the right support to get there.
The most successful pricing teams aren’t chasing every new capability at once. They’re taking focused steps, removing friction where it slows them down, introducing intelligence where it drives impact, and building confidence as they go.
That’s where the right partner makes the difference.
Vendavo works with B2B manufacturers and distributors to help pricing teams evolve at their own pace, whether that means optimizing existing rule-based approaches, introducing machine learning in a controlled way, or exploring agentic capabilities with full transparency and governance.
If you’re evaluating your next step, now is the time to take a closer look at what’s possible.
Connect with a Vendavo expert to see how your pricing strategy can evolve practically, confidently, and with measurable results.