AI-powered analytics built for the unique demands of pet retail.
Pet Retail Analytics Software
AI-powered analytics built for the unique demands of pet retail.
Pet Retail Analytics Software
AI-powered analytics built for the unique demands of pet retail.
A tailored solution built for the SKU complexity and high-replenishment demands of pet retail
Pet retail demand is more complex than it looks. Consumables like food and treats follow tight replenishment cycles, while durables like beds, crates, and toys behave entirely differently. Layer in seasonal patterns — flea and tick season, holiday gifting, outdoor and travel products in summer — and accurate forecasting becomes critical. Retalon’s AI engine generates forecasts at the SKU-location level, accounting for:
Pet retailers carry some of the most complex assortments in retail. Food alone spans dozens of brands, protein sources, life stages, and dietary needs — and that’s before factoring in accessories, health products, and live animal supplies. Our assortment planning solution helps pet retailers cut through that complexity, building store-level plans that reflect local demand patterns rather than a one-size-fits-all approach.
High-velocity consumables need to be replenished frequently and accurately — running out of a customer’s preferred food brand is one of the fastest ways to lose them to a competitor or an online subscription service. At the same time, slow-moving durables tie up capital if over-ordered. Retalon applies different replenishment logic to different product types, so pet retailers can maintain high in-stock rates on consumables without overcommitting on the rest of the assortment.
Pet retailers typically manage a large, fragmented supplier base — from global pet food manufacturers to small specialty vendors. Variability in fill rates, lead times, and minimum order quantities makes purchasing complex and easy to get wrong. Retalon brings structure to the process, generating optimized purchase orders that account for supplier constraints, service level targets, and forward-looking demand rather than just historical sales.
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