Dynamic Pricing Intelligence

Pricing decisions that respond to the market

Decision Intelligence · Works with Any Commerce and ERP System

Pricing decisions take too long and leave money on the table. Manual pricing rules can't keep up with customer-specific contracts, volume tiers, competitive pressure, and margin targets. Teams guess at optimal prices or default to cost-plus formulas that ignore market reality.

Dynamic Pricing Intelligence provides AI-powered pricing recommendations that work on top of your existing commerce and ERP systems. Recommends optimal prices by customer, product, timing, and competitive position. Enforces margin guardrails, automates contract pricing, and monitors market rates in real-time.

Built for B2B and B2C operations where pricing decisions directly impact revenue, profitability, and competitive positioning. No platform migration required.

What you get

Pricing recommendations powered by AI trained on your historical data, customer behaviour, competitive intelligence, and business rules. Not generic algorithms, intelligence specific to your products, customers, and market.

Margin protection prevents orders below thresholds. Contract pricing automation applies correct terms without manual lookup. Competitive monitoring alerts when market rates shift. Negotiation guidance suggests optimal counteroffer strategies based on acceptance history.

Our customers use Dynamic Pricing Intelligence to reduce pricing decision time from days to minutes, improve margins by 3-8%, and eliminate pricing errors that erode profitability.

Powered by: Ecom Manager Assist · Insights · Marketing Intelligence · Bytebard Data Mesh

Core capabilities

AI Price Recommendations

Suggests optimal prices by customer, product, timing, order size, and competitive position. Considers historical patterns, acceptance rates, margin targets, and market conditions. Updates recommendations as conditions change.

Margin Protection

Enforces minimum margin thresholds automatically. Blocks orders below acceptable margins, suggests alternative products or pricing. Prevents margin erosion from manual pricing mistakes.

Contract Pricing Automation

Applies customer-specific pricing, volume tiers, and contract terms automatically. No manual lookup or calculation. Flags contract expirations and renewal opportunities.

Competitive Intelligence

Monitors competitor pricing across your product catalogue. Alerts when competitors undercut you or when you have pricing advantage. Tracks market rate trends over time.

Negotiation Guidance

Suggests counteroffer strategies based on historical acceptance rates, customer value, and margin flexibility. Shows probability of acceptance at different price points.

Customer-Specific Pricing

Manages complex B2B pricing: customer hierarchies, account-specific rates, volume discounts, payment term adjustments. Ensures consistency across locations and channels.

Dynamic Pricing Adjustments

Responds to real-time conditions: inventory levels (markdown slow movers), demand spikes (premium pricing), competitor actions (match or maintain position), seasonal patterns.

Exception Handling

Routes pricing exceptions (below margin, non-standard terms, large discounts) to appropriate approvers with context and recommendations. Tracks approval patterns to improve future recommendations.

How it integrates with your systems

01

Connect via Bytebard Data Mesh

Integrate with commerce platform (Shopify, Magento, custom), ERP (SAP, NetSuite, Dynamics), CRM, and competitive intelligence sources. Historical sales, costs, customer data, contract terms flow into Dynamic Pricing Intelligence.

Timeline: 2-3 weeks for integration and data validation

02

Train AI on Your Business

AI learns your pricing structure, customer segments, margin targets, competitive positioning. Analyses historical acceptance rates, win/loss patterns, seasonal trends.

Timeline: 2-3 weeks for training and calibration

03

Deploy Pricing Recommendations

Pricing engine activates with recommendations flowing to sales teams, quoting tools, or directly into commerce platform. Margin guardrails enforce automatically. Approvals route to right people.

Timeline: 1-2 weeks for deployment and team training

04

Optimise & Learn

AI continuously learns from outcomes: which prices were accepted, which were rejected, which led to orders. Recommendations improve over time. Rules refine based on business feedback.

Timeline: Ongoing optimisation and model updates

What this solves

Problem: Pricing decisions take too long

Manual pricing requires looking up customer contracts, calculating volume discounts, checking margins, getting approvals. Simple quotes take 2-3 days. Complex quotes take weeks.

Solution: Automated pricing with AI recommendations

AI calculates optimal price in seconds. Applies contract terms automatically. Enforces margins without manual checks. Approvals only for true exceptions.

Typical impact: Pricing decision time reduced 75-85%, quote turnaround 2-3 days → 30 minutes

Problem: Margin erosion from pricing mistakes

Manual pricing errors: forgotten contract terms, miscalculated discounts, below-margin approvals that shouldn't happen. Death by a thousand cuts, each error small, cumulative impact large.

Solution: Margin protection and automated compliance

AI enforces margin guardrails automatically. Contract terms applied correctly every time. Exception approvals require justification. Pricing errors eliminated.

Typical impact: Margin improvement 3-8%, pricing errors down 90%+

Problem: Competitive blind spots

No systematic way to track competitor pricing. React to lost deals after the fact. Either leave money on table (priced too low) or lose business (priced too high).

Solution: Real-time competitive intelligence

AI monitors competitor rates across catalogue. Alerts when position shifts. Recommends price adjustments based on competitive strategy (match, premium, value).

Typical impact: Competitive win rate up 15-25%, revenue per transaction up 5-12%

Works with your existing systems

Dynamic Pricing Intelligence integrates with any commerce platform and ERP via Bytebard Data Mesh. Pre-built connectors for major platforms, custom integration for proprietary systems.

Commerce platforms

Shopify & Shopify PlusMagento (Adobe Commerce)BigCommerceSalesforce Commerce CloudSAP Commerce CloudCustom-built platforms

ERPs

SAP (ECC, S/4HANA)NetSuiteMicrosoft DynamicsInforEpicorCustom ERP systems

CRMs

SalesforceHubSpotMicrosoft Dynamics CRM

CPQ & Competitive Intelligence

Salesforce CPQOracle CPQCustom quoting systemsPrice monitoring servicesMarket data providers

Don't see your system? We can still connect to it.

How customers use Dynamic Pricing Intelligence

01

Industrial B2B Manufacturer

Custom B2B portal + SAP ERP + Salesforce CRM

Challenge

10,000+ SKUs with customer-specific pricing, volume discounts, contract terms. Quote generation took 2-3 days, pricing errors common. Margins inconsistent (10-40% range on similar deals).

Solution

Dynamic Pricing Intelligence integrated with SAP and CRM. AI recommendations for every quote, margin guardrails enforce 18% minimum, contract terms applied automatically.

Outcome

  • •Quote turnaround: 2-3 days → 4 hours
  • •Pricing errors: Down 95%
  • •Average margin: Up from 22% to 26% (4 point improvement)
  • •Annual margin impact: +£2.4M on £60M revenue
02

Foodservice Wholesale Distributor

Magento + NetSuite ERP

Challenge

800+ B2B customers with unique pricing, seasonal variations, competitive pressure. Sales reps guessing at prices, losing deals to competitors, leaving margin on table.

Solution

Dynamic Pricing Intelligence with competitive monitoring, customer-specific pricing, seasonal adjustments.

Outcome

  • •Competitive win rate: Up 20%
  • •Average order value: Up 12%
  • •Margin improvement: 5% (28% → 33%)
  • •Sales rep pricing time: Down 70%
03

Multi-Brand D2C Retailer

Shopify Plus (3 brands) + NetSuite

Challenge

No systematic approach to promotional pricing, markdowns, or competitive positioning. Leaving revenue on table (priced too low) or missing sales (priced too high).

Solution

Dynamic Pricing Intelligence with demand-based pricing, markdown optimisation, competitive intelligence.

Outcome

  • •Revenue per transaction: Up 8%
  • •Markdown waste: Down 30%
  • •Gross margin: Up 3 points
  • •Pricing strategy time: 15 hrs/week → 3 hrs/week

Implementation approach

Timeline: 6-8 weeks from kick-off to live pricing recommendations

Phase 1: Integration (Weeks 1-3)

  • • Connect to commerce platform, ERP, CRM via Bytebard Data Mesh
  • • Extract historical pricing, sales, customer, cost data
  • • Validate data quality and completeness

Phase 2: AI Training (Weeks 3-5)

  • • Train AI on your pricing structure, customer segments, margin targets
  • • Analyse acceptance patterns, win/loss history
  • • Configure margin guardrails and business rules
  • • Build competitive intelligence feeds

Phase 3: Testing & Validation (Weeks 5-6)

  • • Test recommendations against known scenarios
  • • Validate margin protection works correctly
  • • Train commercial teams on using recommendations
  • • Configure approval workflows

Phase 4: Deployment (Weeks 7-8)

  • • Go live with pricing recommendations
  • • Monitor performance and outcomes
  • • Refine based on feedback
  • • Ongoing optimisation

What's required

  • • Access to ERP pricing, cost, customer data
  • • Historical sales and quoting data (12-24 months ideal)
  • • Stakeholder time for requirements and validation (10-15 hours)
  • • Commercial team involvement for training and feedback

Investment

Implementation: £40K-£60K

Includes: system integration, AI training, pricing model development, team training, 60-day optimisation support

Timeline: 6-8 weeks

Platform Subscription: £8K-£15K/month

Based on: transaction volume, number of SKUs, complexity of pricing structure

Includes: pricing engine access, AI recommendations, margin protection, competitive monitoring, ongoing model updates

Support: Optional £5K-£8K/month

Pricing strategy consulting, model optimisation, competitive intelligence expansion, enhancement development

Payment structure: Implementation: 50% at start, 50% at go-live. Subscription: Monthly or annual. Support: Monthly retainer.

ROI typically achieved in: 4-6 months through margin improvement and pricing efficiency gains.

For detailed scoping and pricing based on your systems and pricing complexity, contact our team.

Built on WithPraxis platform

Dynamic Pricing Intelligence leverages core WithPraxis capabilities

Ecom Manager Assist

Provides day-to-day pricing guidance for commercial teams. Margin analysis, exception routing, approval workflows.

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Bytebard Data Mesh

Connects Dynamic Pricing Intelligence to commerce platform, ERP, CRM, competitive intelligence sources. Real-time data sync.

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Insights

Powers pricing pattern analysis, margin trend detection, acceptance rate modelling. Identifies opportunities for pricing optimisation.

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Marketing Intelligence

Competitive monitoring, market rate tracking, demand sensing. Informs dynamic pricing adjustments.

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Ready for a complete platform?

Dynamic Pricing Intelligence is one component of Adaptive Commerce, our complete AI-native commerce platform. If you're considering migrating from your current platform, Adaptive Commerce includes:

  • • Everything in Dynamic Pricing Intelligence
  • • Plus: AI storefront, predictive ordering, smart fulfillment, conversational commerce, unified operations

Many customers start with Dynamic Pricing Intelligence on their existing platform, then migrate to Adaptive Commerce when ready for complete transformation.

Explore Adaptive Commerce

Improve pricing decisions.

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