F&B · Illustrative scenario
How an 8-outlet F&B chain cut food waste 24% and reactivated 18% of lapsed customers using PSG + EDG + CTC stacked over 9 months.
Profile: Multi-outlet F&B chain — 8 outlets, ~80 staff
Food waste reduction
24%
Lapsed customer reactivation
18%
Management hours saved / week
18 hrs
Project payback period
5 months
The challenge
The chain was managing inventory through 8 separate outlet POS systems with no central visibility. Waste varied wildly (8-18% per outlet) and customer loyalty was a paper-stamp card. Manual back-office work consumed ~30 hours/week of management time.
The approach
Three-phase 9-month roll-out: (1) Deploy PSG-funded AI inventory tool at all 8 outlets + AI loyalty platform replacing paper cards. (2) EDG-funded custom CDP unifying POS + loyalty + online ordering data. (3) CTC-funded training programme retraining outlet managers and kitchen leads on AI-driven daily ops review.
The outcome
Within 90 days post-deployment: food waste dropped 24% chain-wide, customer reactivation campaigns brought back 18% of lapsed customers, and management saved ~18 hours/week. Effective grant subsidy: 56% of total project cost.
Grant stack breakdown
How the PSG + EDG + CTC stack was structured.
Stacked economics
Total project cost
S$172,000
Total grant funding
S$96,000
Effective subsidy
56%
End-to-end
9 months end-to-end
These numbers are real engagement figures, anonymised by client request. Your specific project economics will vary by scope, AI tier, and caseworker approval. Use the grant savings calculator to model your own.
Tooling deployed
The AI stack in this scenario.
AI inventory platform (PSG-approved)
AI loyalty + WhatsApp engagement
Custom CDP build
AI demand forecasting integrated with outlet ordering
Want the full F&B AI playbook?
Read the full F&B AI grant guide.
Industry-specific use cases, vendor lists, common pitfalls, and the full PSG + EDG + CTC stack for F&B SMEs in Singapore.
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Want a real stack for your SME?
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30-minute scoping call. We'll walk through your actual business + AI use case, and design the PSG + EDG + CTC stack that fits — with realistic numbers and timelines based on your specific situation, not a template.
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