Robin AI Assistant
Smart Recommendations
AI-powered suggestions that drive real business results
Recommendations That Work
Robin AI doesn’t just analyze - it recommends specific actions you can take today to grow your business. Each suggestion is tailored to your unique situation and backed by data.Success Rate: 73% of implemented recommendations show positive results
within 7 days.
Recommendation Categories
Quick Overview
Pricing
Optimize your prices for profit
Inventory
Stock the right items at right time
Marketing
Reach customers effectively
Operations
Run more efficiently
Pricing Recommendations
Dynamic Pricing Insights
Current: Kopi O at RM 3.50 Recommendation: Increase to RM 3.90
Reasoning: - Competitors charge RM 4.00-4.50 - No sales drop in past
increases - 11% margin improvement - Test with 20% of customers first
Expected Impact: +RM 400/month
Psychological Pricing
Price Ending Analysis
Your data shows: - .90 endings: 15% higher sales than .00 - RM 19.90 vs
RM 20: 25% more orders - Bundle at RM 29.90: Sweet spot for families
Recommendation: Adjust all prices to .90 endings
Inventory Recommendations
Stock Level Optimization
Reorder Alerts
Reorder Alerts
Intelligent Reordering: 🔴 Order Today: - Chicken: 2 days left
(order 50kg) - Coffee beans: 3 days (order 20kg) 🟡 Plan This Week: -
Rice: 8 days left - Cooking oil: 10 days Factors considered: Lead time,
holidays, trends
Seasonal Adjustments
Seasonal Adjustments
Chinese New Year Prep (2 weeks away): 📈 Increase stock: - Mandarin
oranges: +200% - Gift sets: +150% - Premium items: +100% 📉 Reduce: -
Regular meals: -30% - Non-festive items: -20%
Dead Stock Alert
Dead Stock Alert
Items Not Moving (30+ days): 1. Imported Pasta - 15 units - Action:
50% off clearance 2. Special Tea - 20 boxes - Action: Free with RM 50
purchase 3. Seasonal Mooncakes - 10 boxes - Action: Donate (tax
deduction)
New Product Suggestions
Based on Customer Searches: Customers asked for but you don’t stock: 1.
Oat milk - 12 requests/month 2. Gluten-free options - 8 requests 3.
Plant-based meat - 6 requests Recommendation: Test oat milk first (highest
demand, easy addition)
Marketing Recommendations
Campaign Timing
Your Optimal Posting Schedule: 📱 Facebook: - Mon-Fri: 7-8 AM
(commuters) - Sat-Sun: 10-11 AM (families) 📸 Instagram: - Daily: 12-1
PM (lunch browsers) - Friday: 5-6 PM (weekend planning) 💬 WhatsApp: -
Promos: 10 AM (after morning rush) - Reminders: 4 PM (dinner decisions)
Customer Targeting
Win-Back Campaign
Target: 45 lapsed customers Message: “We miss you! Here’s RM 10 off
your next visit” Best time: Tuesday 11 AM Expected: 15 returns (33%)
VIP Appreciation
Target: Top 50 customers Offer: Exclusive preview of new menu
Format: Personal WhatsApp Impact: Strengthen loyalty
Operational Recommendations
Staffing Optimization
Smart Scheduling
Current Issues: - Overstaffed Mon-Wed afternoons - Understaffed Fri-Sat
lunch - High overtime costs Recommended Schedule:
Mon-Wed: 2 staff (save RM 300/week) Thu-Fri: 3 staff lunch, 2 others Sat-Sun: 4 staff peak hours Result: Better service, lower costsProcess Improvements
Payment Flow
Payment Flow
Problem: 3-minute average payment time Solutions: 1. Enable
tap-to-pay (save 30 seconds) 2. Pre-set amount buttons 3. Default to
e-receipt Impact: Serve 20% more customers at peak
Order Management
Order Management
Bottleneck: Kitchen tickets getting mixed Fix: Number system +
display board - Cost: RM 500 - Errors reduced: 90% - Customer satisfaction:
↑25%
Implementation Tracking
How Robin Measures Success
1
Baseline Recorded
Current metrics captured before change
2
Change Implemented
You apply the recommendation
3
Results Monitored
AI tracks impact for 7-30 days
4
Success Evaluated
Positive/negative/neutral outcome
5
Learning Applied
Future recommendations improved
Success Stories
Mamak Restaurant - PJ Recommendation: Raise roti canai from RM 1.80 to
RM 2.00 Result: - Sales volume: No change - Revenue: +11% - Profit: +RM
1,200/month
Advanced Recommendations
Multi-Factor Analysis
Complex Optimization
Robin AI considers multiple factors: Example: “Increase Tuesday revenue”
Analysis includes: - Weather patterns - Local events - Competitor actions -
Historical data - Customer segments Recommendation: Tuesday Quiz Night with RM
20 entry (includes RM 25 F&B credit)
Predictive Recommendations
Trend Anticipation
Trend Anticipation
“Poke bowls trending up 300% in your area. Add to menu now to capture early
demand. Expected: 20-30 orders/day at RM 18 each.”
Risk Prevention
Risk Prevention
“Your supplier’s delivery becoming unreliable. 3 late deliveries in 2 weeks.
Recommendation: Add backup supplier now.”
Customizing Recommendations
Your Preferences
Tell Robin AI your priorities: - Focus on revenue growth - Minimize costs -
Improve efficiency - Enhance customer experience - Build loyalty
Recommendations will align with your goals
Feedback Loop
Rate each recommendation:- ✅ Implemented - worked
- ✅ Implemented - didn’t work
- ❌ Didn’t implement - why?
- 🤔 Need more info
Common Questions
How accurate are recommendations?
How accurate are recommendations?
73% show positive results. Success varies by: - Business type -
Implementation quality - Market conditions - Data quantity
Can I ignore recommendations?
Can I ignore recommendations?
Absolutely! They’re suggestions, not commands. Use your judgment. The AI
learns from what you do and don’t implement.
How often do I get new ones?
How often do I get new ones?
- Daily: 1-2 priority recommendations - Weekly: 5-10 optimization ideas - Monthly: Strategic planning suggestions Customize frequency in settings
Measuring ROI
Track Your Gains
Average Pro User Results: 💰 Revenue impact: +RM 2,500/month ⏱️ Time
saved: 8 hours/month 📈 Success rate: 73% 💡 Ideas tested: 12/month ROI on Pro
subscription: 50x