Boise Data Science
Consulting
Price with confidence. Grow margin with AI.
Boise Data Science builds pricing models, automates pricing operations, and develops pricing AI that turns your data into measurable revenue and margin gains.
Models
elasticity & optimization
Automation
pricing workflows
AI
dynamic recommendations
Illustrative pricing dashboard
Margin uplift
+28.4%
Price realization
$1.3M
Manual pricing time
-41%
Pricing
Models, automation & AI
End-to-end
From strategy to deployment
Measurable
Impact tied to margin and revenue
What we do
Everything you need to price smarter, from model to machine.
Pricing Model Building
Price elasticity, willingness-to-pay, segmentation, and margin-optimization models tailored to your products, customers, and channels.
- ✓Elasticity & demand modeling
- ✓Price/discount waterfall analysis
- ✓Competitive & value-based pricing
Pricing Automation
Replace spreadsheets and manual approvals with governed, rule-based pricing workflows that run on your ERP, CRM, or e-commerce stack.
- ✓Rules engines & guardrails
- ✓Quote and discount approval flows
- ✓Automated price updates & monitoring
Pricing AI Development
Machine learning and generative AI that recommend prices, predict deal outcomes, and explain every recommendation to your team.
- ✓Dynamic & personalized pricing
- ✓Deal-win probability scoring
- ✓LLM copilots for pricing teams
Analytics & Data Strategy
The data foundation behind great pricing: clean pipelines, KPI frameworks, and dashboards leadership can trust.
- ✓Pricing data pipelines
- ✓Margin & leakage dashboards
- ✓Experimentation & A/B testing
Pricing AI development
Explainable AI your pricing team can trust.
We design, train, and deploy production machine learning for pricing—with transparent drivers, human-in-the-loop approvals, and monitoring so models stay accurate as markets change.
- Price elasticity and demand forecasting
- Dynamic pricing and promotion optimization
- Customer-level price recommendations
- Churn- and win-probability scoring
- Anomaly detection for margin leakage
- Generative AI assistants for sales and pricing teams
Our approach
A pricing lifecycle built around measurable outcomes.
01
Diagnose
Audit pricing data, discounting behavior, and margin leakage to find the highest-value opportunities.
02
Model
Build and validate elasticity, segmentation, and optimization models against historical results.
03
Automate
Embed pricing logic into your systems with guardrails, approvals, and audit trails.
04
Apply AI
Layer machine learning for dynamic recommendations, forecasting, and anomaly detection.
05
Measure
Track realized impact with controlled tests and executive-ready reporting.
Business impact
Pricing is the fastest lever on profit.
1–3%
Typical price realization lift
Often cited range for disciplined pricing programs
5–10x
Faster quote & price turnaround
From automating manual approvals
60%+
Less analyst time on manual pricing work
Reinvested in strategy
8–12 wks
Typical time to first deployed model
Scoped per engagement
Figures are indicative ranges, not guarantees; actual results depend on your data, market, and implementation.
Industries
Pricing expertise across sectors.
FAQ
Common questions.
Do we need a lot of data to start?
No. We start with what you have—transactions, quotes, and costs—and scope a model that fits your data maturity.
Will AI replace our pricing team?
No. We build explainable systems that give your team better recommendations, with human approval and guardrails.
How do you measure impact?
We define baselines up front and use holdout groups or A/B tests so results are attributable and defensible.
Which systems do you integrate with?
Common ERPs, CRMs, data warehouses, and e-commerce platforms, plus custom APIs where needed.
Ready to move forward?
Tell us what you're working on.
Share a little about your company and pricing challenge. We'll review your note and follow up by email.
Prefer email? boisedatascience@gmail.com
Or call (602) 935-5529