Better replenishment can mean millions of dollars of incremental orders, but to stay on top of opportunities you need to closely watch inventory levels, calculate correct order quantities, and then act quickly — all with the hope that your retailer’s Replenishment Manager accepts the order.
With Alloy.ai’s Retail Replenishment Recommendations
consumer brands can identify new replenishment opportunities, while saving hours spent hunting through spreadsheets.
Benefits of Retail Replenishment Recommendations in Alloy.ai
- Identify additional replenishment opportunities - Get automatically alerted to new opportunities for incremental sell-in at individual stores to maximize sales and grow revenue. Retail Replenishment Recommendations automatically prioritize the replenishment opportunities with biggest dollar impact first.
- Automatically calculate the correct order quantities - Calculate the required order quantities, with controls and order constraints to adjust the order quickly. Store-level crossdock orders and DC-level staplestock orders are both supported.
- (For Walmart suppliers) Auto-generate Walmart NOVA order - NOVA is Walmart's internal tool for suppliers to recommend incremental replenishment orders (within their GRS replenishment system) — allowing you to flag the retailer's replenishment managers when they are running low on inventory. Alloy.ai has features purpose-built for Walmart suppliers, allowing you to download an auto-generated NOVA form for your order that can be submitted to your Walmart replenishment manager.
"It saves me a lot of the time I used to spend on analysis."
“I’m impressed with how quick it is. It saves me a lot of the time I used to spend on analysis. I saw that Walmart replenishment orders were coming in lighter than expected. The in-stocks for a lot of games were 91% or 92%. I was able to easily take the Alloy.ai recommendations, submit the single-store order and it was approved by the replenishment manager.”
Sunny Chawla, Planning Manager, Relatable
Retail replenishment questions you can answer with Alloy.ai
- What incremental orders should I recommend to my Buyers or Replenishment Analysts? What data should I present to prove the need?
- Where are there opportunities to sell more?
- Which products and channels are at risk of losing POS $ in the near future due to OOSs?
- Which stores are driving the recommendations? Do we have enough inventory at our warehouses to fill these recommendations?
Purpose-built for consumer goods brands
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