Replenix is a predictive inventory intelligence platform built for small-to-mid retail businesses — independent pharmacies, liquor stores, specialty retailers — who are stuck managing stock with gut feel, static min-max rules, or clunky spreadsheets. We replace that guesswork with machine learning that actually understands your demand patterns, so you order the right products, in the right quantities, at the right time.

Our ML engine analyses your historical sales data — accounting for seasonality, trend shifts, and the intermittent demand patterns that are common in smaller retail — to generate SKU-level demand forecasts. These forecasts feed directly into automated reorder recommendations using advanced inventory models that continuously optimise for your specific cost structure, balancing the real trade-off between overstocking and stockouts.

In benchmarking across 30,000+ real SKUs, our models delivered a 15–28% reduction in total inventory costs compared to traditional min-max approaches — with a 100% win rate across every parameter regime tested. That's not a cherry-picked result; it's a stress-tested outcome across diverse product categories and cost structures.

We're currently onboarding pilot partners in the AU/NZ market and building toward our first commercial release. If you're a retailer tired of leaving margin on the shelf, we'd love to talk. Visit replenix.ai to learn more.

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