Dynamic Pricing Optimization in Tier-1 A&D Supply Chain

Customer:
Leading Tier-1 Aerospace & Defense organization. 

Business Challenge:

The customer manages a catalog of over 2 million unique parts. To streamline inventory and improve efficiency, the organization needed to:
  • Identify and replace redundant or obsolete parts
  • Offer removed items for external purchase with optimized pricing
  • Maintain sales volume while increasing margins
Manually pricing and planning at this scale was unsustainable, and static models failed to capture the complexity of real-world demand.

ESI LABS Objective:

Develop a system that could generate more profitable price lists without reducing overall sales volume.

Solution Delivered:

  • ESI LABS deployed a rule-driven dynamic pricing engine built on:
    • A proprietary optimization algorithm incorporating hundreds of operational, market, and item-specific parameters
    • Business rules that mapped item relationships, substitution logic, and catalog constraints
    • An adaptive pricing model that aligned profit targets with acceptable volume trade-offs
    The solution integrated seamlessly into existing planning systems and could simulate various price elasticity and catalog scenarios.
Implementation Timeline:
  • 6 months: System design, modeling, and rollout
  • 6 months: Tuning and refining pricing models for full-scale operations

Results Achieved:

7%

Average item prices increased by 7%

2%

Sales volume decreased by just 2%

4%

Overall profit increased by 4%

Conclusion:

The dynamic pricing engine delivered a 7% price uplift with minimal volume impact, driving a 4% profit increase and transforming pricing into a scalable, data-driven advantage.

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