Your POS records transactions. Your ERP records costs. PhyloAI is the continuous intelligence layer that monitors, recommends, assigns and verifies — connecting PetPooja, Tally, inventory and delivery channels through Ontology Studio and Agent HQ.
Your restaurant stack records what happened. It doesn't tell you what to do. PhyloAI closes the gap between reporting and action — answering the questions ops teams ask but no dashboard answers.
Discounts drive covers but erode margin silently. Campaign ROI requires connecting POS, inventory and channel data — no single system does this.
One outlet runs 32% food cost while another runs 28% — leadership can't see root cause until the quarterly review.
Procurement spikes, vendor pricing drift and delivery commission erosion compound for weeks before finance flags them at month-end close.
POS logs transactions. ERP logs costs. Spreadsheets compile weekly reports.
Dashboards visualise history. BI tools answer questions you already know to ask.
PhyloAI monitors continuously, detects margin leaks, assigns owners and verifies outcomes — Data → Ontology → Signals → Agents → Outcomes.
Most connectors are custom-built. PhyloAI maps your outlet ontology first, then connects the sensors that feed it — no POS replacement required.
PetPooja, Rista, Restroworks, Tally, SAP — sales, voids, discounts and covers synced continuously.
Stock levels, purchase orders, vendor pricing and wastage logs — mapped to recipe and food cost KPIs.
Zomato and Swiggy order data, commissions, ratings and discount usage — channel margin in one view.
Tally ledgers, GST filings and vendor invoices — procurement cost spikes surfaced against outlet benchmarks.
PhyloAI builds a brand-specific ontology and deploys specialised agents: Food Cost Agent, Margin Agent, Campaign ROI Agent, Procurement Agent, NC Agent and Reconciliation Agent — each monitoring, recommending and tracking outcomes.
POS, ERP, inventory, delivery, GST
Outlet KPIs, margin rules, benchmarks
Leak detection, drift, anomalies
Food Cost · Margin · Campaign · Procurement
Actions assigned, verified, learned
Ask what happens if Gurgaon continues current procurement patterns — or if you adjust prep sheets and renegotiate Zomato commission this month. Scenarios grounded in live outlet data, not static spreadsheets.
Food cost reaches 34.8% by week 8. ₹2.4L annual margin erosion based on current protein over-ordering trend.
Food cost returns to 30.2% target within 4 weeks. Saves ₹2.4L annually at this outlet alone.
Current 2.1pp above cluster avg costs ₹6.8L/year. Renegotiation scenario models ₹4.2L recovery.
On a ₹1,000 Cr hospitality network, a 1% margin recovery adds ₹10 Cr to EBITDA. A 2% recovery adds ₹20 Cr. PhyloAI finds those leaks continuously — not at year-end audit.
Vendor performance, outlet margins, inventory signals and procurement governance connected across sourcing-to-service operations.
Cross-outlet benchmarking, food cost intelligence and delivery commission analysis across a multi-brand portfolio.
Food cost anomalies, procurement drift and channel margin erosion identified through continuous POS and inventory monitoring.
POS, inventory and delivery signals monitored continuously
Ontology explains why margin is leaking
Scenarios model food cost and commission outcomes
Specific actions assigned to outlet owners
Outcomes refine future cost detection rules
Connect PetPooja, Rista, Tally and your finance stack. Custom connectors built for your systems — no POS replacement required.
See integration approach →Real-time COGS monitoring, recipe compliance, procurement spike detection and wastage pattern analysis across every outlet.
See signal example ↓Compare food cost, revenue per cover and labour efficiency across locations — with cluster norms and outlier explanations.
See benchmark format →Zomato and Swiggy commission benchmarking, discount governance, rating monitoring and channel margin impact in ₹.
See channel dashboard →Food Cost, Margin, Campaign ROI, Procurement, NC and Reconciliation agents — each monitoring signals, recommending actions and tracking outcomes automatically.
See agent workflow →Encode your outlet economics once — food cost KPIs, margin thresholds, channel splits and ownership rules that agents reason against continuously.
See ontology approach →Every ops action outcome feeds back into your hospitality ontology — cost detection rules get sharper with each service cycle.
Ops head reduces Tuesday protein order by 15% based on food cost spike alert. Action logged in PhyloAI with outlet context.
Did food cost return to target? Did wastage decrease? Was the procurement signal accurate? Outcome data captured from PetPooja and Tally automatically.
Procurement thresholds, recipe compliance weights and leak signal combinations updated based on what actually predicted margin erosion vs. false positives.
Each cycle makes the system more accurate for your specific outlets, cuisine mix, vendor relationships and delivery channel economics.
Tell us about your restaurant operations. We'll map your outlet ontology and show exactly which signals PhyloAI would monitor across PetPooja, Tally, inventory and delivery channels.