Pricing Analytics & AI
We build pricing analytics and AI that improves real commercial decisions — designed for adoption, not dashboards.
- Better segmentation and differentiated pricing
- Better guidance and discount discipline
- Faster response to cost and market changes
20–30 minutes. We'll select a starting use case that fits your data and decision flow.
What it is
]We design and build analytics and AI that improves pricing decisions and execution. The goal isn't 'models.' The goal is decision support people trust and use, integrated into commercial workflows, with adoption and impact you can measure.
We start with business decisions that matter, build only the foundations needed, and iterate based on usage.
Typical starting points
]- Segmentation & differentiation (customer/product-level patterns)
- Discount guidance & deal intelligence (guardrails and coaching)
- Cost pass-through acceleration (timing, consistency, governance)
- Tail-end pricing & minimum margin rules (where margin leaks)
- Leakage/compliance checks (where data supports control)
We'll help you pick the smallest high-impact use case that your organization can adopt quickly.
What changes for you
]Decisions people trust
Outputs are explainable and integrated into real workflows.
Measurable adoption
We track usage and impact, not just model accuracy.
Sustainable capability
You can run and improve it after we leave.
Faster market response
React to cost and competitive changes in hours, not weeks.
What you get
]Deliverables
INCLUDED IN YOUR ENGAGEMENT- Use-case backlog + value sizing
- Data readiness view per use case
- Prototype → production plan (scalable and maintainable)
- Decision logic and explainability approach
- KPI system (adoption + impact)
- Handover package (so the client can run it)
Sample artifacts
KPI definitions
usage, adoption, impact metrics
Use-case sizing template
value, effort, data requirements
Governance cadence
continuous improvement framework
How we measure success
]- Adoption metric (how many decisions use the output)
- Impact metric (margin/revenue improvement)
- Data quality metric (foundation health)
At a glance
- Use-case backlog + value sizing
- Data plan
- Decision logic + measurement model
- Use-case sprint
- Build & embed
- Continuous improvement
How we deliver
]Our Pricing Intelligence Factory™ (PIF)
Select
Pick a decision that matters and define success.
Typical outputs
use case · success metrics
Prepare
Minimal data foundation and validation.
Typical outputs
data ready · quality checks
Build
Logic/model + usable outputs.
Typical outputs
prototype · decision logic
Embed
Integrate into workflows and train users.
Typical outputs
integration · enablement
Improve
Measure adoption, refine, scale.
Typical outputs
KPIs · iteration plan
Frequently asked questions
]Do we need a large data platform first?
Not necessarily. We start from the decision and build only what's needed.
Will Sales trust this?
Trust comes from usability and explainability. We design outputs that fit real workflows.
Can this connect to our pricing tool?
Often yes, depending on system capabilities and integration constraints.
Start with one decision that moves margin.
Book a scoping call and we'll select a starting use case that fits your data and decision flow.
20–30 minutes. We'll map your needs to a clear next step.