How Novikov Turned Data Chaos into a Competitive Edge

Running a multi-concept operation like Novikov means complexity at every level: different kitchens, different supply chains, different margin profiles, all under one roof. Before Mayo, we were managing that complexity with a patchwork of tools: one system for purchasing, another for POS, a separate spreadsheet for labor, and a finance team that spent most of its week just trying to get a clear picture of where we stood. The numbers were always lagging, and by the time we spotted a problem — say, a supplier quietly raising prices on our seafood line — we'd already absorbed weeks of unnecessary cost.

Mayo changed the game by unifying everything into one view. Within the first six weeks, it flagged receiving cost anomalies that saved us over $20,000 annually. Its menu analytics showed us which dishes were margin traps disguised as bestsellers, and we restructured our specials strategy around what actually made money.

What I appreciate most is that Mayo doesn't just give us data — it gives us direction. Every week I get a clear set of AI-driven recommendations: what to promote, where waste is creeping in, which cost lines need attention. Our food waste dropped significantly in the first quarter (we could not even track that before), and we reduced back-office headcount from three people to one without losing any reporting quality — in fact, our P&L is now more accurate and timelier than it's ever been.

The team that used to sit in the office crunching numbers is now on the floor, managing service, building guest relationships. For a high-volume restaurant with the standards Novikov demands, having your best people where the guests are isn't a luxury — it's a necessity. Mayo made that possible.