Allocation Insights workflow in Alloy.ai
Make informed allocation and order delayment decisions based on where there will be the greatest dollar impact.
Quickly understand if retail stockout risks are being driven by warehouse shortages, spikes in demand, under-ordering or under-forecasting by the retailer.
Influence retailers to delay or accept cuts on orders during a shortage situation by specifically communicating when you project them to run OOS.
Allocation questions you can answer with Alloy.ai
- Which specific orders are at risk of not being filled?
- What is the relative need for inventory across my retailers? How does that compare to what they are ordering?
- Does the customer need this order to avoid inventory issues? Do they need it immediately or can the "must arrive by date" be delayed?
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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.
In what ways can Alloy.ai assist in identifying the root causes of retail stockout risks?
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.
How does Alloy.ai facilitate building trust with retailers during supply shortages?
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.