LumicIQ aggregates every multimodal signal a store emits and applies the judgment of the best store managers, in real time, learning continuously from what worked. Reading the data is the easy part; the decisions on top are the product: quantified, delivered to the floor, and provable afterward.
The field watches one slice of the store and runs rules someone wrote. LumicIQ reads all of it and applies judgment: every decision carries its reasoning, is measured by its outcome, and improves the next one.
The competition beyond the direct field: the paths a retailer could take instead, and the vendors that feed us rather than fight us.
Bespoke
Palantir and the consultancies wire it per engagement, at enterprise prices. Walgreens runs task routing on it across 4,000 stores; Coles runs workforce planning on it across 840+ supermarkets. Real, and priced far above the chains we serve.
Templates
Microsoft ships a store-operations agent template in Copilot Studio; Google and Salesforce sell the same pattern in Gemini Enterprise and Agentforce. The retailer assembles, integrates and maintains them itself; none ships an operating loop.
In-house & status quo
Target built its store chatbot in-house in about six months; Walmart is building agents for its associates. That path needs a permanent platform team, which is why it stops at the top tier. Everyone else runs dashboards, weekly reports and intuition.
Smaller startups
Kirana AI, Sidekick and other seed-stage entrants: camera boxes and text agents for independent stores, from two-person teams. Kirana's own website was offline sixteen months after founding.
Sources, not rivals
Lane tools go deep on one workflow: UKG and Legion on labor, Afresh on ordering. Signal vendors sell the sensing itself: Focal and VusionGroup on shelves, Simbe's robots, Augmodo's wearables, RetailNext and Sensormatic on traffic and loss prevention. Every feed becomes input events on our spine.