Tuning the Supply Chain | WildFig Data

When do I need the product so it’s available when customers want to buy it?

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The challenge

  • How much product do I need to buy?
  • When do I need the product so it’s available when customers want to buy it?
  • How does this impact my cash flow?

Questions like these are dynamic, complex and potentially costly. Matching supply with demand is a constant challenge for any business. It’s especially challenging at scale with dramatic fluctuations in purchase cycles and the addition of new products within an e-commerce environment. The answer to these challenges lies within data, its inherent historical trends and patterns and the benchmark of previous decisions.

The WildFig solution

Our team partnered with a leading e-commerce retailer in the D2C automotive category to:

  • Transform their purchasing algorithm from a static, monthly, judgment based decision making logic to a dynamic, custom, quantitatively driven model to optimize purchase decisions.
  • Establish benchmarks around overall cash flow and potential vendor pricing optimization.
  • Provide insights on category and seasonal performance.
  • Automate outputs and optimize recommendations on a weekly basis.