Price Set Configuration & Advanced Pricing Logic

Price Set Configuration & Advanced Pricing Logic

Price sets in BigLedger provide sophisticated, rule-based pricing capabilities that enable complex pricing strategies adaptable to diverse business conditions, customer segments, and operational scenarios. This advanced pricing system supports enterprise-level requirements with powerful logic engines and flexible configuration options.

Overview

Price sets represent the most advanced tier of BigLedger’s pricing architecture, offering rule-based logic that can automatically apply different pricing strategies based on configurable conditions. They work seamlessly with price books and pricing schemes to create comprehensive, intelligent pricing solutions.

ℹ️
Foundation Architecture: Price sets operate within the hierarchy of Price Books → Pricing Schemes → Price Sets → Item Prices, providing the logic layer that determines which prices to apply under specific business conditions.

Understanding Price Set Architecture

Core Components and Relationships

Hierarchical Structure:

  • Price Books: Organizational containers for pricing information
  • Pricing Schemes: Templates defining price calculation methods
  • Price Sets: Rule-based logic engines for conditional pricing
  • Pricing Rules: Specific conditions and treatments that control price application

Business Logic Flow:

  1. Condition Evaluation: System evaluates document header and line item conditions
  2. Rule Matching: Identifies applicable price sets based on business rules
  3. Priority Application: Applies highest priority rules when multiple sets match
  4. Treatment Execution: Calculates final prices based on configured treatments
  5. Validation: Ensures pricing integrity and business rule compliance

Price Set vs. Other Pricing Components

Price Sets vs. Pricing Schemes:

  • Pricing Schemes: Static templates defining price types and calculation methods
  • Price Sets: Dynamic rule engines that conditionally apply pricing based on business logic

Price Sets vs. Price Books:

  • Price Books: Organizational containers grouping related pricing information
  • Price Sets: Intelligent logic systems that determine when and how to apply specific pricing

Advanced Capabilities:

  • Conditional Logic: Complex AND/OR rule combinations
  • Priority Management: Hierarchical rule application with override capabilities
  • Performance Optimization: Efficient rule evaluation for large-scale operations
  • Integration Support: Seamless operation with all BigLedger modules

Price Set Creation and Configuration

Accessing Price Set Management

Navigation and Setup

  1. Navigate to Price Set Configuration from the pricing management menu
  2. Ensure prerequisite components are configured:
    • Price Books: Created and properly configured
    • Pricing Schemes: Defined with appropriate price types
    • Item Master Data: Products with base pricing information
  3. Access the price set creation interface

Prerequisites and Dependencies

Required Components:

  • Active Price Book: Price sets must be associated with an existing price book
  • Pricing Scheme: At least one pricing scheme must be configured
  • User Permissions: Appropriate access rights for price set management
  • System Resources: Adequate system capacity for rule processing

Price Set Creation Process

Essential Configuration Information

Price Set Identification:

  • Price Book Selection: Choose the price book that will contain this price set
  • Price Set Code: System-generated unique identifier (read-only after creation)
  • Price Set Name: Descriptive name for easy identification and management
  • Description: Detailed explanation of price set purpose and business logic

Priority and Status Management:

  • Priority Level: Numerical priority for rule application order (1 = highest priority)
  • Status: Active, inactive, or draft status for controlled deployment
  • Effective Dates: Optional date ranges for time-sensitive pricing
  • Override Permissions: Define who can override these pricing rules

Advanced Configuration Options

Performance Settings:

  • Rule Complexity: Balance between sophisticated logic and system performance
  • Caching Options: Configure caching for frequently accessed price sets
  • Validation Level: Set validation strictness for rule conflicts
  • Monitoring: Enable performance monitoring for complex rule sets

Integration Settings:

  • Module Integration: Configure integration with POS, e-commerce, and other modules
  • API Access: Enable external system access to price set logic
  • Real-Time Processing: Configure real-time vs. batch pricing calculation
  • Audit Logging: Enable detailed logging for price set rule application

Rule Configuration and Logic

Document Header Rules

Document header rules evaluate conditions at the overall transaction level, considering customer information, transaction dates, and business context.

Customer-Based Rules

Customer Classification Rules:

  • Customer Type: Apply different pricing based on retail, wholesale, or VIP classification
  • Customer Group: Target specific customer groups or market segments
  • Customer Location: Geographic-based pricing for regional market differences
  • Customer Relationship: Pricing based on customer tenure, volume, or relationship status

Example Customer Rule Configuration:

Rule Name: VIP Customer Discount
Condition: Customer.Type = "VIP" AND Customer.TotalPurchases > $10,000
Treatment: Apply 15% discount to all items
Priority: 1

Advanced Customer Logic:

  • Purchase History: Rules based on customer purchasing patterns
  • Credit Status: Pricing adjustments based on payment terms and credit rating
  • Loyalty Program: Integration with customer loyalty and rewards programs
  • Contract Pricing: Special pricing for customers with negotiated contracts

Date and Time-Based Rules

Temporal Pricing Logic:

  • Seasonal Pricing: Different pricing for peak and off-peak seasons
  • Promotional Periods: Time-limited special pricing campaigns
  • Day-of-Week: Different pricing for weekdays vs. weekends
  • Time-of-Day: Hour-specific pricing for certain business models

Date Rule Examples:

Rule Name: Holiday Season Premium
Condition: Date BETWEEN "2024-11-15" AND "2024-12-31"
Treatment: Apply 10% markup to selected categories
Priority: 2

Rule Name: Off-Season Discount
Condition: Date BETWEEN "2024-01-15" AND "2024-03-15"
Treatment: Apply 20% discount to seasonal items
Priority: 3

Entity and Business Context Rules

Organizational Rules:

  • Sales Channel: Different pricing for retail, online, wholesale channels
  • Business Unit: Division or department-specific pricing rules
  • Location: Store or warehouse location-based pricing
  • Currency: Multi-currency pricing with automatic conversion

Business Context Examples:

  • Order Size: Minimum order quantities for wholesale pricing
  • Payment Terms: Cash vs. credit pricing differences
  • Delivery Method: Pricing adjustments for pickup vs. delivery
  • Rush Orders: Premium pricing for expedited processing

Line Item Rules

Line item rules evaluate conditions at the individual product or service level, enabling sophisticated product-specific pricing logic.

Product-Specific Rules

Item Classification Rules:

  • Product Category: Category-based pricing rules and adjustments
  • Brand: Brand-specific pricing strategies and margins
  • Product Lifecycle: Different pricing for new, established, and end-of-life products
  • Inventory Status: Pricing adjustments based on stock levels and turnover

Product Rule Configuration:

Rule Name: Electronics Category Discount
Condition: Item.Category = "Electronics" AND Quantity >= 5
Treatment: Apply 8% discount
Priority: 1

Rule Name: Clearance Pricing
Condition: Item.Status = "Discontinued" AND Inventory.Level < 10
Treatment: Apply 30% discount
Priority: 2

Quantity-Based Rules

Volume Pricing Logic:

  • Quantity Breaks: Tiered pricing based on order quantities
  • Bulk Discounts: Progressive discounts for larger orders
  • Mixed Quantity: Rules for combinations of different products
  • Minimum Orders: Pricing requirements for minimum order quantities

Quantity Break Examples:

Rule Name: Volume Discount Tier 1
Condition: Quantity BETWEEN 10 AND 49
Treatment: Apply 5% discount
Priority: 1

Rule Name: Volume Discount Tier 2
Condition: Quantity BETWEEN 50 AND 99
Treatment: Apply 10% discount
Priority: 1

Rule Name: Volume Discount Tier 3
Condition: Quantity >= 100
Treatment: Apply 15% discount
Priority: 1

Advanced Item Logic

Complex Product Rules:

  • Cross-Category: Rules affecting multiple product categories
  • Complementary Products: Pricing for related or bundled items
  • Substitution Logic: Alternative product pricing when primary items unavailable
  • Attribute-Based: Rules based on specific product attributes or specifications

Regular Expression Matching:

  • Pattern Matching: Use regex for complex item code patterns
  • Dynamic Classification: Automatic categorization based on item attributes
  • Flexible Grouping: Group items based on naming conventions or codes
  • Exception Handling: Specific rules for items that don’t match standard patterns

Treatment Configuration and Calculations

Treatment Types and Methods

Price set treatments define how pricing adjustments are calculated and applied once rule conditions are met.

Discount Treatments

Percentage Discounts:

  • Fixed Percentage: Apply consistent percentage discount (e.g., 10% off)
  • Graduated Percentage: Progressive discounts based on order value
  • Category-Specific: Different discount percentages for different product categories
  • Customer-Specific: Personalized discount percentages based on customer classification

Amount Discounts:

  • Fixed Amount: Specific monetary discount (e.g., $50 off)
  • Per-Unit Discount: Fixed discount per item purchased
  • Threshold-Based: Amount discounts that activate at specific purchase levels
  • Progressive Amount: Increasing amount discounts for larger orders

Markup Treatments

Cost-Plus Pricing:

  • Fixed Markup: Consistent markup percentage over cost
  • Variable Markup: Different markups based on product categories or customer types
  • Competitive Markup: Market-based markup calculations
  • Value-Based Markup: Markup based on customer perceived value

Market-Based Pricing:

  • Premium Positioning: Higher markups for premium products or services
  • Penetration Pricing: Lower markups for market entry or growth
  • Competitive Parity: Markups designed to match competitor pricing
  • Dynamic Adjustment: Real-time markup adjustments based on market conditions

Fixed Price Treatments

Absolute Pricing:

  • Contract Pricing: Fixed prices negotiated with specific customers
  • Promotional Pricing: Special fixed prices for marketing campaigns
  • Clearance Pricing: Fixed low prices for inventory clearance
  • Bundle Pricing: Fixed prices for product or service bundles

Conditional Fixed Pricing:

  • Volume-Based Fixed: Fixed prices that activate at certain quantities
  • Time-Limited Fixed: Fixed prices for specific time periods
  • Customer-Specific Fixed: Negotiated fixed prices for key accounts
  • Channel-Specific Fixed: Different fixed prices for different sales channels

Calculation Methods and Formulas

Standard Calculation Formulas

Percentage Calculations:

Final Price = Base Price × (1 ± Percentage/100)
Example: $100 × (1 - 15/100) = $85 (15% discount)

Amount Calculations:

Final Price = Base Price ± Fixed Amount
Example: $100 - $25 = $75 (fixed $25 discount)

Compound Calculations:

Multiple Rules: Apply in priority order
Rule 1: 10% discount = $100 × 0.9 = $90
Rule 2: $5 discount = $90 - $5 = $85

Advanced Calculation Logic

Conditional Calculations:

  • Tiered Calculations: Different calculation methods for different quantity or value tiers
  • Progressive Calculations: Calculations that change based on cumulative order value
  • Compound Interest: Complex calculations for financial products or services
  • Matrix Pricing: Multi-dimensional pricing based on multiple variables

Custom Formula Support:

  • Business Rule Integration: Custom formulas that incorporate specific business logic
  • External Data Integration: Calculations that use external market data or rates
  • Real-Time Adjustments: Formulas that adjust based on current market conditions
  • Validation Logic: Built-in validation to ensure calculation accuracy and business rule compliance

Complex Business Scenarios

Multi-Tier Distribution Pricing

Enterprise distribution scenarios often require sophisticated pricing structures that accommodate multiple levels of distribution channels, regional markets, and customer relationships.

Distribution Channel Hierarchy

Channel-Specific Pricing Strategy:

  • Manufacturer to Distributor: Wholesale pricing with volume incentives
  • Distributor to Retailer: Retail wholesale pricing with marketing support
  • Retailer to Consumer: End-user pricing with market positioning
  • Direct Sales: Manufacturer-direct pricing with channel conflict management

Geographic Market Differentiation:

  • Regional Pricing: Different pricing for different geographic markets
  • Currency Localization: Local currency pricing with automatic conversion
  • Tax Compliance: Automatic tax calculation for different jurisdictions
  • Logistics Adjustment: Pricing adjustments for shipping and handling costs

Complex Distribution Rules

Example: Multi-Tier Electronics Distribution:

Rule Set 1: Distributor Pricing
Condition: Customer.Type = "Distributor" AND Order.Value >= $50,000
Treatment: Apply distributor pricing schedule (40% off MSRP)
Priority: 1

Rule Set 2: Volume Incentives
Condition: Customer.Type = "Distributor" AND Quarterly.Volume >= $200,000
Treatment: Additional 5% discount
Priority: 2

Rule Set 3: Regional Adjustment
Condition: Customer.Region = "Asia-Pacific" AND Product.Category = "Electronics"
Treatment: Apply 8% regional adjustment
Priority: 3

Seasonal and Promotional Pricing

Seasonal pricing strategies require sophisticated time-based rules that can automatically adjust pricing based on calendar events, inventory levels, and market conditions.

Seasonal Pricing Strategies

Holiday and Event Pricing:

  • Pre-Season Buildup: Gradual price increases leading to peak season
  • Peak Season Premium: Maximum pricing during high-demand periods
  • Post-Season Clearance: Aggressive discounting to clear seasonal inventory
  • Off-Season Maintenance: Baseline pricing to maintain market presence

Inventory-Driven Seasonal Pricing:

  • Stock Level Integration: Pricing adjustments based on current inventory levels
  • Turnover Rate: Pricing modifications based on inventory turnover speed
  • Forecasting Integration: Predictive pricing based on demand forecasting
  • Automatic Adjustment: Real-time pricing changes based on inventory metrics

Dynamic Promotional Pricing

Campaign-Based Pricing:

Rule Set: Black Friday Electronics Sale
Condition: Date = "2024-11-29" AND Category = "Electronics"
Treatment: Apply 25% discount with maximum $500 discount per item
Priority: 1
Effective: 2024-11-29 00:00 to 2024-11-29 23:59

Rule Set: Buy-One-Get-One Promotion
Condition: Product.Code LIKE "PROMO_*" AND Quantity >= 2
Treatment: Apply 50% discount to lowest-priced item
Priority: 2
Effective: 2024-12-01 to 2024-12-31

B2B Portal and E-Commerce Integration

Modern businesses require pricing systems that work seamlessly across multiple digital channels while maintaining consistency and supporting channel-specific strategies.

B2B Portal Pricing

Account-Based Pricing:

  • Customer-Specific Catalogs: Personalized product catalogs with customer-specific pricing
  • Contract Pricing Integration: Automatic application of negotiated contract terms
  • Approval Workflows: Built-in approval processes for special pricing requests
  • Volume Commitment Tracking: Monitoring and enforcement of volume commitments

Self-Service Pricing Tools:

  • Quote Generation: Customer ability to generate quotes with real-time pricing
  • Price History: Access to historical pricing for budget planning and analysis
  • Bulk Pricing Tools: Tools for customers to analyze pricing for large orders
  • Comparison Tools: Side-by-side comparison of different product options and pricing

E-Commerce Pricing Integration

Multi-Platform Synchronization:

  • Real-Time Updates: Instant pricing updates across all e-commerce platforms
  • Platform-Specific Rules: Different pricing strategies for different online platforms
  • Competitive Intelligence: Integration with competitive pricing monitoring tools
  • Dynamic Adjustment: Automatic pricing adjustments based on market conditions

Customer Experience Enhancement:

  • Personalized Pricing: Customer-specific pricing displayed upon login
  • Quantity-Based Display: Real-time display of quantity break pricing
  • Promotion Integration: Automatic application and display of promotional pricing
  • Mobile Optimization: Consistent pricing experience across all device types

Priority Management and Rule Conflict Resolution

Understanding Priority Systems

Priority management ensures that when multiple price sets could apply to the same transaction, the system applies the most appropriate pricing in a predictable, business-logical manner.

Priority Hierarchy

Numerical Priority System:

  • Priority 1: Highest priority rules (most specific, critical business rules)
  • Priority 2-5: Mid-level priorities for standard business rules
  • Priority 6-10: Lower priorities for general rules and defaults
  • Default Handling: System behavior when no specific rules match

Priority Assignment Strategy:

  • Customer-Specific: Highest priority for negotiated customer pricing
  • Promotional: High priority for time-sensitive promotional campaigns
  • Volume-Based: Medium priority for quantity-based pricing rules
  • General: Lower priority for category or general market pricing

Conflict Resolution Logic

Rule Overlap Management:

Example Conflict Scenario:
Rule A (Priority 1): VIP Customer gets 20% discount
Rule B (Priority 2): Electronics category gets 15% discount
Rule C (Priority 3): Orders over $1000 get 10% discount

Resolution: VIP customer buying electronics over $1000 gets 20% discount (Priority 1 wins)

Combination vs. Override:

  • Override Logic: Higher priority rules completely override lower priority rules
  • Additive Logic: Some rules can be combined for cumulative effects
  • Exclusive Logic: Certain rules cannot be combined (conflict prevention)
  • Business Logic Validation: System validation to prevent nonsensical combinations

Advanced Priority Scenarios

Complex Business Rules

Multi-Dimensional Priority:

  • Customer + Product: Combined customer and product-specific rules
  • Time + Volume: Temporal rules combined with quantity-based rules
  • Geographic + Channel: Location and sales channel combination rules
  • Contract + Promotion: Negotiated pricing with promotional overlays

Exception Handling:

  • Emergency Pricing: Highest priority for crisis or emergency situations
  • Management Override: Special provisions for management pricing decisions
  • System Maintenance: Pricing behavior during system maintenance or updates
  • Data Validation: Handling of incomplete or invalid data scenarios

Performance Optimization and Best Practices

System Performance Considerations

Large-scale pricing operations require careful attention to system performance, especially when implementing complex rule-based pricing across extensive product catalogs and customer bases.

Rule Optimization Strategies

Efficient Rule Design:

  • Specific Conditions: Use specific conditions to reduce rule evaluation overhead
  • Indexed Fields: Base rules on database-indexed fields for faster evaluation
  • Rule Grouping: Group related rules to reduce redundant evaluations
  • Caching Strategy: Implement intelligent caching for frequently accessed pricing

Performance Monitoring:

  • Rule Execution Time: Monitor time required for complex rule evaluations
  • Database Impact: Track database performance under pricing load
  • Concurrent Processing: Optimize for multiple simultaneous pricing requests
  • Resource Utilization: Monitor CPU and memory usage during pricing operations

Scalability Planning

Large Catalog Management:

  • Batch Processing: Implement batch processing for bulk pricing updates
  • Incremental Updates: Use incremental rather than full catalog updates
  • Parallel Processing: Leverage parallel processing for complex calculations
  • Database Optimization: Optimize database structure for pricing operations

High-Volume Transactions:

  • Load Balancing: Distribute pricing calculations across multiple servers
  • Caching Layers: Implement multiple levels of caching for frequently accessed data
  • Queue Management: Use queuing systems for high-volume pricing requests
  • Real-Time vs. Batch: Balance real-time needs with system performance

Implementation Best Practices

Strategic Implementation Approach

Phased Rollout Strategy:

  1. Phase 1: Implement basic price sets for core customer segments
  2. Phase 2: Add advanced rules for promotional and seasonal pricing
  3. Phase 3: Implement complex multi-dimensional pricing scenarios
  4. Phase 4: Optimize performance and add advanced analytics

Change Management:

  • User Training: Comprehensive training for pricing administrators
  • Documentation: Detailed documentation of all pricing rules and logic
  • Testing Procedures: Thorough testing of pricing rules before deployment
  • Rollback Plans: Procedures for reverting pricing changes if needed

Operational Excellence

Monitoring and Maintenance:

  • Regular Audits: Periodic review of pricing rule effectiveness
  • Performance Monitoring: Continuous monitoring of system performance
  • Business Impact Analysis: Regular analysis of pricing rule business impact
  • Continuous Improvement: Ongoing refinement of pricing strategies

Quality Assurance:

  • Rule Validation: Automated validation of pricing rule logic
  • Conflict Detection: Proactive identification of potential rule conflicts
  • Accuracy Testing: Regular testing of pricing calculation accuracy
  • Business Rule Compliance: Verification that pricing rules meet business requirements

Troubleshooting and Common Issues

Rule Configuration Issues

Common Rule Problems

Logic Errors:

  • Issue: Rules not evaluating as expected due to logic errors
  • Common Causes: Incorrect AND/OR logic, missing parentheses, wrong data types
  • Solutions:
    • Use rule testing tools to validate logic
    • Break complex rules into simpler components
    • Document rule logic clearly for review
    • Implement step-by-step rule evaluation logging
  • Prevention: Establish rule development standards and peer review processes

Priority Conflicts:

  • Issue: Unexpected pricing results due to priority conflicts
  • Common Causes: Overlapping priority levels, unclear priority assignment
  • Solutions:
    • Review and restructure priority assignments
    • Implement priority testing scenarios
    • Create priority documentation and guidelines
    • Use priority simulation tools for complex scenarios
  • Prevention: Develop clear priority assignment methodology

Data and Integration Issues

Data Synchronization Problems:

  • Issue: Pricing rules referencing outdated or incorrect data
  • Common Causes: Delayed data updates, integration failures, caching issues
  • Solutions:
    • Implement real-time data validation
    • Create data synchronization monitoring
    • Establish data refresh procedures
    • Provide manual data override capabilities
  • Prevention: Regular data integrity checks and automated monitoring

Performance Degradation:

  • Issue: Slow pricing calculation due to complex rule sets
  • Common Causes: Inefficient rules, large data sets, inadequate hardware
  • Solutions:
    • Optimize rule logic and conditions
    • Implement intelligent caching strategies
    • Review and upgrade system resources
    • Implement parallel processing where appropriate
  • Prevention: Performance testing during rule development

Business Process Issues

User Experience Problems

Complex Rule Management:

  • Issue: Difficulty managing large numbers of complex pricing rules
  • Solutions:
    • Implement rule categorization and organization systems
    • Create user-friendly rule management interfaces
    • Provide comprehensive training and documentation
    • Establish rule governance processes
  • Prevention: Design user-centric rule management systems

Pricing Transparency:

  • Issue: Difficulty understanding how final prices are calculated
  • Solutions:
    • Implement pricing explanation tools
    • Create detailed pricing calculation logs
    • Provide customer-facing pricing information
    • Establish clear pricing communication procedures
  • Prevention: Design transparent pricing systems with clear documentation

Integration with Business Operations

Sales Process Integration

Quote and Order Processing

Dynamic Quote Generation:

  • Real-Time Pricing: Instant price calculation during quote generation
  • Customer-Specific Rules: Automatic application of customer-specific pricing
  • Approval Workflows: Built-in approval for non-standard pricing
  • Price Validity: Time-limited pricing with automatic expiration

Order Processing Optimization:

  • Batch Processing: Efficient processing of large orders with complex pricing
  • Validation Checks: Automatic validation of pricing against business rules
  • Exception Handling: Procedures for handling pricing exceptions
  • Integration Points: Seamless integration with inventory and fulfillment systems

Customer Service Integration

Price Inquiry Support:

  • Customer Service Tools: Tools for customer service representatives to explain pricing
  • Price History Access: Historical pricing information for customer inquiries
  • Override Capabilities: Controlled override capabilities for customer service
  • Documentation Tools: Tools to document pricing decisions and exceptions

Financial Integration

Accounting and Reporting

Revenue Recognition:

  • Automatic Posting: Automatic posting of pricing adjustments to appropriate accounts
  • Margin Analysis: Real-time margin analysis based on applied pricing rules
  • Cost Accounting: Integration with cost accounting for accurate profit analysis
  • Financial Reporting: Integration with financial reporting for comprehensive analysis

Budget and Planning Integration:

  • Revenue Forecasting: Integration with revenue forecasting and planning systems
  • Pricing Impact Analysis: Analysis of pricing rule impact on financial performance
  • Budget Variance: Tracking of pricing impact on budget performance
  • Strategic Planning: Integration with strategic planning and analysis tools

Advanced Features and Future Enhancements

Artificial Intelligence Integration

Machine Learning Capabilities

Predictive Pricing:

  • Demand Forecasting: AI-powered demand forecasting for optimal pricing
  • Market Analysis: Automated analysis of market conditions and competitor pricing
  • Customer Behavior: Analysis of customer behavior and price sensitivity
  • Optimization Algorithms: AI-driven optimization of pricing strategies

Automated Rule Generation:

  • Pattern Recognition: Automatic identification of pricing patterns and opportunities
  • Rule Suggestion: AI-powered suggestions for new pricing rules
  • Performance Optimization: Automatic optimization of existing pricing rules
  • Anomaly Detection: Identification of pricing anomalies and potential issues

Advanced Analytics

Real-Time Analytics:

  • Pricing Performance: Real-time analysis of pricing rule performance
  • Customer Response: Analysis of customer response to pricing changes
  • Market Impact: Real-time analysis of pricing impact on market position
  • Competitive Intelligence: Integration with competitive intelligence systems

Predictive Modeling:

  • Price Elasticity: Modeling of price elasticity for different products and customer segments
  • Revenue Optimization: Predictive modeling for revenue optimization
  • Customer Lifetime Value: Integration with customer lifetime value calculations
  • Market Simulation: Simulation of pricing strategies and market response

Technology Roadmap

Next-Generation Features

Advanced Integration:

  • IoT Integration: Integration with Internet of Things for real-time pricing data
  • Blockchain: Blockchain integration for pricing transparency and audit trails
  • API Enhancement: Enhanced API capabilities for external system integration
  • Cloud Scalability: Enhanced cloud scalability for global operations

User Experience Enhancement:

  • Mobile Optimization: Enhanced mobile capabilities for pricing management
  • Voice Integration: Voice-activated pricing inquiry and management
  • Augmented Reality: AR integration for visual pricing presentation
  • Natural Language: Natural language processing for pricing rule creation

Related Resources

Expand your advanced pricing expertise:


Getting Help and Support

Technical Support Resources

Immediate Assistance:

  • Technical Support: vincent@bigledger.com for configuration and technical issues
  • Implementation Support: sales@bigledger.com for implementation planning and consultation
  • Training Resources: Comprehensive video tutorials and documentation library
  • Community Support: User forums and knowledge base for peer support and solutions

Professional Services:

  • Advanced Configuration: Expert assistance with complex price set scenarios
  • Rule Development: Professional development of sophisticated pricing rules
  • Performance Optimization: System performance optimization for large-scale operations
  • Integration Services: Advanced integration with existing business systems

Best Practice Resources

Documentation and Training:

  • Advanced User Guides: Comprehensive guides for complex pricing scenarios
  • Video Tutorials: Step-by-step video tutorials for price set configuration
  • Webinar Series: Regular training webinars on advanced pricing strategies
  • Case Studies: Real-world implementation case studies and success stories

Strategic Consulting:

  • Pricing Strategy Development: Comprehensive pricing strategy consulting and development
  • Market Analysis: Competitive analysis and market positioning consulting
  • Business Process Optimization: End-to-end business process optimization
  • Change Management: Support for pricing system implementation and adoption
Advanced Pricing Success: Organizations implementing sophisticated price set configurations typically achieve 35% improvement in pricing accuracy, 25% increase in profit margins, and 50% reduction in pricing administration time.