Allocation Insights

Make data-driven allocation decisions when supply is constrained

Allocation Insights in Alloy.ai

Allocation questions you can answer with Alloy.ai
Valvoline

Reduced excess retailer inventory at retail

Valvoline used Alloy.ai to discover a major retail partner’s delivery schedules didn’t mesh with daily demand. This allowed them to increase sell-in ~$450K while reducing the retailer’s inventory burden ~$2.2M.

Allocation Insights

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Frequently Asked Questions

How does Alloy.ai help brands prioritize allocation decisions to maximize fill rates?

Alloy.ai’s Allocation Insights workflow enables brands to target risks with the most significant impact on fill rates. By analyzing potential stockout scenarios, the platform assists in making informed allocation and order delay decisions, ensuring that inventory is directed to areas where it will have the greatest financial impact.

The platform allows brands to delve into root cause analysis to address issues long-term. It helps determine whether retail stockout risks are due to warehouse shortages, unexpected demand spikes, under-ordering, or inaccurate forecasting by retailers, enabling brands to implement effective corrective actions.

Alloy.ai provides clear, data-backed guidance that brands can use to communicate with retailers during shortage situations. By accurately projecting when a retailer might run out of stock, brands can influence retailers to delay or accept order reductions, fostering trust and collaboration.