Dynamic Pricing Engine.
Challenge
- Cargill customer purchases more than 1/3 of Australia’s grain crop for both export and delivery to wholesale customers in Australia.
- Works with 20,000 growers across 1,000 port zones and dozens of delivery sites.
- Highly complex pricing / trading terms and poor processes leading to:
- Pricing inconsistency and margin erosion
- Oversubscription of particular bids
Solution
- Clear Dynamics delivered a strategic pricing engine that:
- Aggregates data from 90+ bespoke and standard integrations across internal and external sources.
- Creates triggers and notifications on each data stream, based on tolerances and calculations.
- Individualises pricing for each grower partner based on their unique heuristics.
- Embeds ML components to continually “learn” and improve pricing recommendations.
Value
- Moved from responding to market shifts to shifting the market – in real-time.
- Faster action on pricing signals to ensure they are pricing dynamically and responding to market shifts.
- Improved cost-benefit ratios and pricing optimization.
- Shifted trader focus from Excel manipulation and data aggregation, to trading insights and analysis.
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Clear Dynamics – Australian Government Case Study
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