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Inventory APIs - Dynamic Pricing Decisions

Use Case: Dynamic Pricing Decisions with Terminal Inventory APIs

Overview

Fuel supply managers need real-time visibility into refined fuel inventories across terminals to make informed, margin-optimizing decisions. By integrating APIs that deliver continuous updates on terminal stock levels and Bills of Lading (BOLs), supply teams can implement dynamic pricing strategies that respond instantly to actual product availability and market demand. 

Who Benefits

Fuel Supply Managers  - Gain real-time visibility into terminal inventories and BOLs, enabling smarter, faster pricing decisions that protect supply and maximize margins.

Pricing Analysts  - Leverage dynamic data feeds to fine-tune pricing strategies in response to market shifts, competitive pressures, and inventory constraints.

Terminal Operators - Benefit from improved coordination with supply teams, reducing stockouts and optimizing throughput based on accurate inventory insights.

Executive Leadership  - See improved profitability and market agility through data-driven decision-making and reduced exposure to supply chain volatility.

Scenario

  1. The Inventory Management API provides continuous feeds of terminal inventory levels and BOL transactions for the supplier’s refined fuel volumes.

  2. Throughout the day, the system tracks inventories and allows the user to compare them with current stock and where product can be moved in.

  3. The fuel supply manager reviews updated positions (e.g., current-inventory-summary) against real-time demand signals.

    • Protect supply at constrained locations

    • Optimize margins during periods of high demand

    • Stay competitive against local market movements

  4. The pricing system immediately reflects these updates across relevant channels (terminal postings, customer APIs, rack pricing feeds).

Benefits

  • Quickly determine which markets have the greatest price / demand opportunity

  • Real-time, data-driven pricing decisions aligned with supply conditions

  • Faster response to demand surges, outages, or competitive changes

  • Optimized margins by aligning price with actual terminal positions

  • Improved competitiveness through timely, market-sensitive pricing

 

APIs: Less time managing data, more time leveraging it