Phylo AI

Unlock Profit Leaks Across Your Restaurant Chain in Real Time.

Connect your POS, delivery-platforms, ERP, HRMS and payment flows into one AI-powered dashboard so you stop margins from slipping.

Listen to what your business is trying to tell you.

Profit Intelligence Dashboard
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PROFIT LEAK DETECTED
β‚Ή4.2L /month recoverable
View Details β†’
πŸ“½οΈ 60-Second Overview

See How PhyloAI Works

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The Challenge

Your data lives in 15+ disconnected systems

πŸ“Š POS 🏦 Tally πŸ• Swiggy πŸ” Zomato πŸ’³ Payments πŸ‘₯ HRMS πŸ“¦ Inventory πŸͺ ERP

Profit leaks hide in the gaps between them

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Zero Tech Disruption

Keep using your existing systems

Your Current Stack
POS
ERP
HRMS
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PhyloAI

We plug in. You don't change anything.

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One Unified View

All your data in one intelligent layer

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Real-time. Cross-referenced. Actionable.

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Your KPIs. Your Way.

Custom dashboards for every role

Gross Margin 34.2% ↑ 2.1%
Food Cost 28.5% ↓ 1.3%
Labor % 22.1% On Target

CFO, COO, Store Manager - each sees what matters

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AI-Powered Insights

Not just data. Answers.

πŸ” "HSR outlet margin dropped because Tuesday wastage is 3x normal"
πŸ’° "Swiggy commission is 6% higher than Zomato for same items"
πŸ“ˆ "Paneer Tikka has 72% margin but only 4% of orders"

Insights you'd never find manually

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Your Financial Co-Pilot

Proactive alerts to protect your goals

🚨 Margin at risk: Take action on wastage
⏰ Settlement pending: β‚Ή2.4L from Swiggy
βœ… Monthly target: On track for 8% EBITDA

Never miss a beat. Never miss a goal.

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Ready to unlock your margins?

Join restaurant chains saving β‚Ή4L+ monthly

PhyloAI is built for growing brands. We cut through data clutter, bring everything into one clear intelligence layer, and help you make faster, smarter decisionsβ€”so you can focus on scaling the business, not chasing reports.

Data Unification

All-in-One Data Unification

Tally, POS, delivery platforms, and payment flows unified into one command center.

PhyloAI
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Sales: Weekend dinner revenue up 23% but lunch down 8% - rebalance staff

Sales Intelligence

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Marketing: Instagram promo driving 3.2x ROI vs Zomato ads - shift budget

Marketing Analytics

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Finance: β‚Ή2.4L in pending Swiggy settlements older than 7 days

Finance Reconciliation

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Ops: Kitchen prep time up 12 mins at HSR - check equipment & staff

Operations Alert

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Sales: Weekend dinner revenue up 23% but lunch down 8% - rebalance staff

Sales Intelligence

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Marketing: Instagram promo driving 3.2x ROI vs Zomato ads - shift budget

Marketing Analytics

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Finance: β‚Ή2.4L in pending Swiggy settlements older than 7 days

Finance Reconciliation

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Ops: Kitchen prep time up 12 mins at HSR - check equipment & staff

Operations Alert

Deep Operational Intelligence

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Margin Optimization & Bottom Line Protection

Identify exactly where your profit leaks - down to the item, outlet, and hour

Real-Time Margin Analysis

  • Item-level profitability across all outlets
  • COGS tracking with purchase price variance detection
  • Channel-specific margins (dine-in vs delivery vs B2B)
  • Wastage impact on margins per outlet, per day
  • Theft detection through inventory vs sales reconciliation

Hidden Cost Discovery

  • Delivery partner commission analysis vs order value
  • Peak hour discounting impact on profitability
  • Menu item cannibalization tracking
  • Packaging cost optimization recommendations
  • Energy consumption correlation with sales volume
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Real Insight:

Your MG Road outlet's 15% discount on weekdays is reducing margins by β‚Ή45K/month, while foot traffic increased only 8%. Recommend targeted 10% discount on slow-moving items instead.

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B2C & B2B Sales Intelligence

Automatically segregate, track, and optimize both revenue streams

B2C Operations

  • Dine-in vs delivery vs takeaway breakdown
  • Platform-wise order value & frequency analysis
  • Customer lifetime value across channels
  • Peak hour capacity utilization
  • Repeat customer identification & patterns

B2B Management

  • Corporate client profitability tracking
  • Bulk order margin vs retail comparison
  • Contract compliance monitoring
  • Payment terms impact on cash flow
  • B2B client churn prediction
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Real Insight:

Your B2B client TechCorp contributes 12% revenue but only 6% profit due to 45-day payment terms and fixed pricing. Recommend renegotiating NET-30 terms or 3% price adjustment.

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Embedded Banking & Smart Financial Ops

Automate cash flow, vendor payouts, and reconciliation in real-time

Smart Vendor Payouts

  • Real-time payout scheduling based on invoice & delivery
  • Automated PO-to-payment reconciliation
  • Early payment discount optimization
  • Vendor payment priority based on cash position
  • Multi-outlet vendor consolidation & netting

Auto-Reconciliation

  • Bank statement auto-matching with sales data
  • Delivery platform settlement auto-verification
  • UPI/Card payment gateway reconciliation
  • Discrepancy flagging with root cause analysis
  • Daily closing automation across all outlets
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Real Insight:

Detected β‚Ή18,500 missing from Swiggy settlement for outlets 3 & 7 last week. Auto-raised dispute with transaction IDs. Saved 12 hours of manual reconciliation.

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Vendor Performance & Efficiency Tracking

Score every vendor on quality, timing, and cost - automatically

Delivery & Quality Metrics

  • On-time delivery rate per vendor
  • Quality rejection rate tracking
  • Price variance vs market rates
  • Minimum order quantity optimization
  • Seasonal availability & reliability scoring

Cost & Negotiation Intel

  • Historical price trends per ingredient
  • Alternative vendor comparisons
  • Volume discount opportunity identification
  • Contract renewal optimization
  • Multi-vendor risk assessment
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Real Insight:

Your tomato vendor's on-time rate dropped to 68% this month (from 94%). Alternate vendor offering 12% lower price with 91% reliability. Recommend switching or renegotiating.

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Multi-Outlet Intelligence

Identify best practices and inefficiencies across your entire chain

Performance Benchmarking

  • Revenue per sq ft across outlets
  • Staff efficiency (sales per employee hour)
  • Inventory turnover rate comparison
  • Customer acquisition cost by location
  • Best-selling items variance analysis

Operational Best Practices

  • Top-performing outlet playbook extraction
  • Staff scheduling optimization patterns
  • Menu mix recommendations per location
  • Local competition impact analysis
  • Expansion location viability scoring
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Real Insight:

Your Koramangala outlet generates β‚Ή48K revenue/employee vs β‚Ή31K chain average. Analysis shows optimized shift scheduling and cross-training. Recommend replicating model to 3 underperforming outlets.

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Smart Insights

Click any query below to get instant insights from your business data

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Show this month's sales performance

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Show daily sales trend

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Compare sales by category

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What are our top selling products?

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Which items have the best/worst margins?

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Analyze food cost trends

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Analyze wastage impact on margins

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Which items are slow moving?

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Which store has the best efficiency?

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How are our B2B clients performing?

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How do weekend sales compare to weekdays?

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Analyze price sensitivity of products

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Show this month's sales performance

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Show daily sales trend

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Compare sales by category

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What are our top selling products?

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Which items have the best/worst margins?

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Analyze food cost trends

Deep System Integration

Enterprise connectors built for the entire restaurant technology ecosystem

ERP & Accounting

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Tally

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SAP

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Dynamics 365

Point of Sale

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PetPooja

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Rista

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Restroworks

Food Delivery Platforms

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Zomato

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Swiggy

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DotPe

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UrbanPiper

Logistics & Delivery

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Porter

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Shiprocket

Marketing & Reputation

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Google My Business

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Google Ads

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Meta Ads

External Intelligence

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Weather APIs

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News APIs

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Test Decisions Before You Make Them

Simulate price changes, vendor switches, promotions, demand spikes, and cost shocks across outlets and menus.

PRICE IMPACT πŸ…

Tomato Price Surge

What if tomato prices increase by 20% this month?

OPERATIONS β›½

Fuel Cost Rise

What if fuel/transport costs increase by 15%?

WEATHER 🌧️

Heavy Monsoon

What if it rains for 15 days this month?

WEATHER 🌑️

Summer Heatwave

What if temperatures exceed 40Β°C for 2 weeks?

GROWTH 🀝

New B2B Client

What if we onboard a new hotel chain as B2B client?

RISK ⚠️

Lose Top Client

What if our largest B2B client stops ordering?

EFFICIENCY ♻️

Reduce Wastage

What if we cut wastage by 50% through better handling?

REVENUE πŸ“Š

Price Optimization

What if we increase selling prices by 5%?

DEMAND πŸŽ†

Festival Season

What if Diwali week brings 40% higher demand?

Intelligent operations platform

Phylo AI is the only AI agent focused on improving your business' bottom line

Margin Impact Over Time

Revenue Costs (COGS + Labour) Margin
πŸš€ PhyloAI Activated
+8.2% Margin Improvement
-12% Cost Reduction
+β‚Ή4.2L Monthly Savings

Conversational Analytics Engine

Natural language interface to enterprise-grade business intelligence

PhyloAI Assistant
Live
Why did our Indiranagar outlet's margin drop 3% last week?
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I've identified three primary factors contributing to the margin reduction:

Increased Wastage -β‚Ή18,400 (1.2% impact)
Delivery Partner Mix Shift -β‚Ή12,200 (0.9% impact)
Vendor Price Increase (Chicken) -β‚Ή15,100 (0.9% impact)

πŸ’‘ Recommendations: (1) Wastage spiked on Tuesday-Wednesday due to overordering greens - adjust auto-reorder threshold, (2) Zomato orders increased 22% but at lower margins - renegotiate commission or adjust pricing, (3) Two alternate chicken vendors available at 8-11% lower cost with similar quality scores.

Which B2B clients need attention this month?
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Analysis of 18 active B2B clients shows 3 requiring immediate attention:

GlobalTech (Risk) Order freq down 40%, payment delay +8 days
Acme Corp (Opportunity) Increased orders 35%, ready for volume discount tier
StartupHub (Optimize) Contract expires in 18 days, margin only 4.2%

πŸ’‘ Actions: Schedule call with GlobalTech to understand reduction + payment issues. Propose volume discount to Acme (they're at 92% of threshold). Don't auto-renew StartupHub - renegotiate for minimum 12% margin or part ways.

Try asking:

Deploy Enterprise Intelligence at Restaurant Scale

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