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Development of a Dynamic Pricing and Costing Engine for Logistics SaaS Platform
  1. case
  2. Development of a Dynamic Pricing and Costing Engine for Logistics SaaS Platform

Development of a Dynamic Pricing and Costing Engine for Logistics SaaS Platform

8allocate.com
Supply Chain
Logistics
Transport

Identified Challenges in Logistics Pricing and Cost Management

Logistics service providers face complexity in managing multiple pricing factors such as discounts, promotions, upcharges, commissions, and real-time market adjustments. Currently, these calculations are performed manually or across disparate software systems, leading to inefficiencies, potential errors, and difficulty in maintaining accurate and competitive pricing strategies. The lack of a unified, automated solution hampers ability to respond swiftly to market changes and optimizes profit margins.

About the Client

A mid-sized logistics company or SaaS platform provider aiming to streamline and automate complex pricing, discount, and cost calculations across their shipping network.

Goals for an Automated, Unified Pricing and Costing Solution

  • Develop a centralized system to manage all logistics pricing and costs within a single platform.
  • Enable automatic, complex price calculations that adapt seamlessly to real-time supply and demand data.
  • Automate discount application, promotional adjustments, and upcharges to minimize manual intervention.
  • Incorporate a reliable tax calculation module to ensure compliance and accuracy.
  • Implement scalable microservice architecture to facilitate flexible deployment and future enhancements.
  • Enhance profitability by providing clients with tools to dynamically adjust prices based on current market conditions.

Core Functional Features for the Pricing and Costing Module

  • Interactive components for defining and managing shipment cost calculation rules.
  • Microservice-based architecture supporting modular development and deployment.
  • Integration with real-time supply and demand data sources for dynamic pricing.
  • Automated application of discounts, promotions, upcharges, and commissions.
  • Reliable tax calculation engine for compliance and accuracy.
  • Comprehensive testing, bug fixing, and detailed documentation throughout development.

Preferred Technologies and Architectural Approach

Modern web framework supporting microservices architecture (e.g., Ruby on Rails or similar).
Cloud platform infrastructure (e.g., AWS or equivalent cloud services).
Background job processing system (e.g., Sidekiq or similar).
Frontend development with React or similar JavaScript frameworks.

External Systems and Data Sources Integration Needs

  • Supply and demand data feeds for real-time market insights.
  • Tax calculation services or modules.
  • External APIs for logistics and shipment data.
  • Analytics and tracking tools for ongoing performance monitoring.

Critical Non-Functional System Requirements

  • Scalability to handle increasing transaction volumes with minimal latency.
  • High system availability and reliability for 24/7 operational support.
  • Secure handling of sensitive data, with adherence to relevant compliance standards.
  • Performance metrics aligned with real-time data processing needs (e.g., sub-second response times for price calculations).

Projected Business Impact and Benefits from the New Pricing Engine

The implementation of the automated, centralized pricing and costing engine is expected to empower logistics providers to respond swiftly to market fluctuations, optimize profit margins by up to 10-15%, reduce manual calculation errors, and eliminate redundant workflows. The system will deliver a more flexible and transparent pricing strategy, leading to improved customer satisfaction and competitive advantage in the logistics sector.

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