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The Modern Pricing Engine for Retail
Pricing Strategy is one of the most powerful levers that retailers have at their disposal to create growth, yet it is underleveraged. Most retail pricing teams settle for making decisions in spreadsheets, shooting in the dark, and working backward from a cost-plus margin target, leaving a LOT of money on the table. Our founders experienced these problems at scale when they built pricing tech at Uber that made Uber a billion dollars in profit a year. They realized that retail was lacking the same quality and sophistication of price tooling. So, they built Luca. Luca is an AI-powered co-pilot for retail operators, which constantly identifies revenue and profit headroom, makes recommendations for price adjustments and saves countless work hours along the way. Luca is backed by Y Combinator, Menlo Ventures, and others.
Luca presents itself as a modern pricing engine for retail. The material provided, however, largely contains unrelated content about a different entity (Jari4D, an online Togel/Toto site) and Lazada branding, with no clear information about Luca's actual product, customers, or business model. Based strictly on the supplied text, there is insufficient evidence to describe Luca's offerings beyond the stated one-liner.
No concrete product details are present in the supplied text that describe how Luca's pricing engine works, its features, integrations, or usage flow.
Who it’s for: No target customer profile for Luca is identifiable from the given text.
No hiring, traction, or funding information provided
CEO and Co-Founder at Luca. Before Luca, I spent a decade building product teams at Uber and Microsoft. At Uber, I led the pricing team that created ~$1B in margin improvements on our ridesharing business.
Co-founder and CPO of Luca. Previously led pricing teams at Uber Eats.
We help retailers set prices and discounts that create 10% more profits and revenue, with 10% of the effort.
Luca is a machine learning-powered pricing co-pilot for retailers that connects to sales and inventory data (Amazon and Shopify), analyzes price elasticity and market factors, and provides recommendations for price and discount changes across channels, with alerting and configurable rules for execution.
From the original launch (Mar 2023) — may be outdated.
Smart grocery pricing with AI
AI FP&A Agent for insights, reports, planning and forecasting.
