Find the signal
Identify price variation, data gaps, process conflicts and authority questions worth investigating.
Pricing Intelligence Pilot
Turn pricing evidence into a decision you can defend.
RevSeekr is developing an expert-reviewed intelligence layer that combines structured assessments, de-identified commercial data and stakeholder interviews to show what deserves action, what the evidence can support and what should happen next.
Pilot participants are now being identified.
The problem
Pricing teams rarely need another disconnected dashboard.
They need a defensible answer to a harder set of questions: where is pricing power being lost, which patterns are commercially meaningful, whether the available data can support the conclusion, and which decision should be made first.
Show the evidence
Separate observations from interpretations, with sources, limitations and confidence attached.
Make the next decision
Translate validated findings into priorities, owners, dependencies and a practical transformation sequence.
The first module
Start with one de-identified transaction extract.
The Pricing Signal Scan compares accepted transactions inside commercially comparable peer groups. It highlights price variation worth reviewing, explains the strength and limits of the evidence, and identifies the next input required before anyone recommends a pricing action.
- No customer or product names required
- Deterministic, reproducible calculations
- Every signal reviewed by a pricing expert
- No automatic price or savings recommendation
Synthetic example
Control valves · Core segment
326transactions
42anonymous accounts
91–128indexed peer range
70
145
ObservedComparable transactions show a wide price range, with a recurring cluster below the peer median.
LimitationThe transaction file does not explain contracts, freight, service levels or cost-to-serve.
Next evidenceAdd commercial terms for the customers driving the low-price cluster.
Illustrative data only. A review signal is not a pricing error or recommended price.
The client experience
A controlled engagement, not a black-box upload.
Define the question
Bound the pilot to one business slice, sponsor, data owner and decision.
Gather the evidence
Complete role-based assessments, transfer agreed de-identified data and participate in structured interviews.
Analyze and challenge
RevSeekr runs reproducible analysis, reviews AI-assisted synthesis and challenges material findings with the client.
Deliver the decision package
Receive validated findings, opportunity and risk ranges, data requirements and a sequenced action plan.
Before any data moves
No client datasets are collected through this website.
Each pilot begins with written agreement on the permitted data, secure transfer method, approved systems and AI providers, access, retention and deletion. The website contact form is for an initial business conversation only.
How RevSeekr handles client data and AI →The larger intelligence layer
Build outward from evidence that can survive scrutiny.
The Signal Scan is the smallest useful beginning. Later modules add cost response, discount and approval behavior, quote outcomes, contract exposure, pricing authority and transformation readiness.
Pricing Signal Scan
Price consistency and evidence readiness from one de-identified extract.
Cost-to-Price Response
How quickly and completely customer prices respond when costs move.
Transformation Intelligence
Assessments, data and interviews synthesized into a business case and roadmap.
The decision package
A finding is only useful if it changes the next decision.
The pilot is designed to connect commercial evidence to an actionable operating and technology pathway—not end with a score or a generic list of observations.
Evidence and data map
What was tested, where it came from, what can be trusted and which missing fields limit the conclusion.
Signal findings
Prioritized observations with source evidence, confidence, limitations and the questions that still require validation.
Technology Pathway & Readiness Roadmap
Whether to stabilize, extend, integrate, augment or replace—and which data, governance and operating capabilities must come first.
90-day decision plan
Recommended actions, owners, dependencies, decision gates and the point at which deeper analysis or formal vendor selection makes sense.
The pilot provides a capability and technology pathway, not a full vendor selection. If vendor-specific advice is requested, RevSeekr will disclose relevant commercial relationships and evaluate options against agreed criteria.
Designed to complement the platform
Technology can execute a pricing decision. The organization still has to define the right one.
Enterprise pricing platforms provide the infrastructure to manage, optimize and execute pricing. The RevSeekr intelligence layer is being designed around the decisions that determine whether that infrastructure produces value: data readiness, commercial priorities, pricing authority, adoption and the sequence of change.
That makes the pilot relevant before implementation, during design and after go-live—without positioning RevSeekr's diagnostic as a replacement for the platform.
The pilot aims to
- Produce evidence-linked review signals
- Make data limitations explicit
- Separate deterministic calculations from AI synthesis
- Put a RevSeekr expert behind every released conclusion
- End with owners and next decisions
The pilot does not
- Automatically set or change prices
- Promise recoverable margin from incomplete evidence
- Infer willingness to pay from transaction history alone
- Replace client financial or commercial judgment
- Use one client's data to train another client's analysis