Module Overview
Purpose: AI-powered forecasting and automated order generation based on consumption patterns
Primary Users: Kitchen managers, Purchasing staff, Venue operators
Key Features: Demand forecasting, Suggested orders, Multi-supplier view, Manual adjustments, Approval workflow
Average Flow Time: 5-10 minutes per order review cycle
Screen 1: Reorder Dashboard
UX Note: Entry point showing forecasting summary and order status. Quick access to generate new orders or review pending ones.
Pending Orders
3
Ready for review
Stock Runout Risk
12
Items need attention
Next Delivery
Tomorrow
Supplier A - 9:00 AM
Recent Orders
Supplier A
23 items • £1,245
Sent
Supplier B
15 items • £890
Draft
Dashboard gives instant overview of order status and urgent items needing attention
Screen 2: Generated Order Review
UX Note: AI generates suggested orders. Users review and can accept, modify, or reject suggestions. Color coding shows urgency levels.
←
Review Order: Supplier A
AI Generated
23 Items
• Total: £1,245
3 Urgent
5 Low
All (23)
Urgent (3)
Low Stock (5)
Chicken Breast (2kg)
Current: 5kg • Forecast: 35kg needed
AI Suggests: 30kg (15 packs)
Olive Oil (1L)
Current: 8L • Forecast: 15L needed
AI Suggests: 12L (12 bottles)
Pasta (500g)
Current: 25kg • Forecast: 40kg needed
AI Suggests: 15kg (30 packs)
Color-coded borders show urgency (red=urgent, yellow=low, green=normal). AI provides quantity suggestions based on forecasting.
Screen 3: Manual Adjustment Interface
UX Note: Users can override AI suggestions with manual quantities. Shows impact of changes on costs and stock levels.
AI Suggestion
30kg
15 packs • £225
Your Adjustment
24kg
12 packs • £180
Quick Adjust:
Forecast Context
• Current stock: 5kg (2 days remaining)
• 7-day forecast: 35kg needed
• Next delivery: 7 days from now
• Average daily usage: 5kg
⚠️ Low Quantity Warning
Your quantity (24kg) may not be enough to meet forecasted demand (35kg). Consider ordering more.
Real-time warnings help users understand impact of manual adjustments vs AI recommendations
Screen 4: Multi-Supplier Order Overview
UX Note: View and manage orders across multiple suppliers. See which items go to which supplier and total costs.
Supplier A - Fresh Foods
Draft
Next delivery: Tomorrow, 9:00 AM
Supplier B - Dry Goods
Draft
Next delivery: Thursday, 2:00 PM
Supplier C - Beverages
Sent
Sent: Today, 11:30 AM • Arrives: Friday
Color-coded cards help distinguish between suppliers. Clear status badges show order progress.
Screen 5: Final Approval & Send
UX Note: Final review before sending order to supplier. Shows summary, allows adding notes, and confirms via email/integration.
Order Total
£1,245
23 items • Supplier A - Fresh Foods
Tomorrow, June 15th
9:00 AM - 11:00 AM
✓
Order Sent Successfully!
Confirmation sent to supplier@example.com
Confirmation checkbox and clear summary prevent accidental order sends. Success state provides reassurance.
Design Guidelines - Module 2
Color Coding System
Urgent
Red - Stock critically low
Low Stock
Yellow - Needs attention
Normal
Green - Stock healthy
Key Interactions
- Quick Actions: Swipe-to-adjust quantities on mobile
- AI Transparency: Always show why AI suggested specific quantities
- Batch Operations: Select multiple items for bulk adjustments
- Undo Support: Allow reversing recent changes
- Offline Mode: Save drafts locally, sync when online
Responsive Behavior
- Mobile: Stack cards vertically, collapsible sections
- Tablet: 2-column grid for supplier cards
- Desktop: 3-column layouts, side-by-side comparisons