How a Kettering Bakery Automated 90% of Their Admin with AI
50+ min
saved every day
180+
orders automated weekly
9
workflows running 24/7
£20k+
estimated annual saving
E'Manuel Foods & Bakery is a Nigerian-style bread bakery in Kettering that delivers fresh bread across the Midlands. When we started working together, the owner — Tunmise — was spending his evenings on admin instead of his family. Every order came through WhatsApp. Every payment was manually tracked. Every production quantity was hand-tallied.
Three weeks later, the entire operation runs on 9 automated workflows. Tunmise checks a dashboard for 60 seconds each morning. That's it. Here is exactly what we built and how it works.
The Problem: Hours of Admin Every Evening
E'Manuel handles 140–180 orders every week. Before automation, the workflow looked like this:
- Order collection (2+ hours): Customers sent WhatsApp messages saying things like “2 agege bread, 1 white bread, deliver to 14 Park Street.” Tunmise manually copied each order into a spreadsheet. Messages were often incomplete or contradictory.
- Payment tracking (2+ hours): Customers paid via SumUp (card) or bank transfer. SumUp generates its own transaction reference — breaking the link between order and payment. Tunmise cross-referenced amounts, names, and timing across two separate systems to figure out who had paid.
- Production planning (1 hour): Hand-tallying how many of each bread type to bake. Get the number wrong and you overbake (waste) or underbake (unhappy customers).
- Delivery planning (1 hour): Routes planned from memory. No optimisation, no grouping by area.
- Customer updates (1+ hours): Manually messaging each customer to confirm their order was received and when to expect delivery.
The business was growing — 140 orders per week when we started, now over 180 — but the admin was growing faster. Tunmise was spending more time running the business than baking bread.
The Solution: 9 Automated Workflows
We replaced the entire manual process with 9 interconnected AI workflows, built on n8n (an open-source automation platform) and deployed to the cloud. Here is what each one does:
WF01: Online Order Form
Replaced WhatsApp ordering with a Tally.so form. Customers select products, enter quantities and address, and submit in under 60 seconds. No more incomplete messages.
WF02: Bank Transfer Matching
When Tunmise uploads his HSBC bank statement CSV, this workflow automatically matches bank transfers to orders using name and amount cross-referencing.
WF03 & WF08: SumUp Checkout Links
Generates unique SumUp payment links for each order. Customers tap the link, pay by card, and the payment is automatically matched to their order.
WF04: Production Summary
Every morning at 8am, generates a production summary showing exactly how many of each bread type to bake. No guesswork.
WF05: Delivery Route Optimiser
Every Friday at 2pm, groups delivery addresses by town and generates Google Maps navigation links for each stop. One-click route planning.
WF06: Daily Exception Alerts
Sends a morning alert if any payments are unmatched, orders are missing information, or anything needs manual attention. Tunmise only has to look at exceptions, not every order.
WF07: SumUp Transaction Matching Engine
The most complex workflow. Polls SumUp every 30 minutes and matches transactions to orders using a 4-tier system: submission ID, name + amount, name only (partial payments), and amount only with duplicate safeguards.
WF09: Monday Cleanup
Every Monday morning, archives the previous week's data and resets the dashboard for the new cycle. Clean slate every week.
The Dashboard: 60 Seconds Every Morning
On top of the 9 workflows, we built a password-protected client dashboard at a custom URL. Tunmise logs in each morning and sees:
- Order summary: Total orders, revenue, paid vs unpaid breakdown
- Unpaid customers: Names, amounts, and days since order — with a one-tap WhatsApp button to message them
- Production quantities: Exactly how much of each product to bake
- Delivery stops: Grouped by town with navigation links
- System health: All 9 workflows showing green/amber/red status
The dashboard auto-refreshes every 5 minutes. No spreadsheets to open. No WhatsApp messages to scroll through. Just one screen with everything he needs.
Before & After
| Area | Before | After |
|---|---|---|
| Weekly admin time | 8+ hours | 60 seconds/day |
| Order collection | Manual WhatsApp messages | Online form with instant confirmation |
| Payment matching | Manual cross-referencing | Automated 4-tier matching engine |
| Production planning | Hand-tallying from messages | Real-time auto-generated quantities |
| Delivery routes | Planned from memory | One-click Google Maps routes |
| Customer confirmations | Manual WhatsApp messages | Instant automated via Twilio |
| Sales visibility | None — guesswork | Real-time dashboard with all financials |
What the Owner Said
After the first week of Phase 1 going live, Tunmise shared this feedback:
“It has eradicated the need to spend a lot of time before I could collate my orders. Checking product summary gives me the information needed without stress now.”
“It has helped in getting payment in before the delivery. Customers could follow the SumUp link and make payment directly.”
“The customers love the new innovation.”
What's Next: WhatsApp Bot
Phase 3 is currently in progress: a full WhatsApp customer bot that lets customers place orders, check delivery status, and get payment confirmations — all within WhatsApp. This is the final piece that brings the experience full circle: customers who are already on WhatsApp can order through WhatsApp, but now with structured data flowing through the same automated pipeline.
Could This Work for Your Business?
The specific workflows are tailored to E'Manuel's operation, but the patterns apply to any business that takes orders, processes payments, and delivers products or services. If you are spending hours on manual admin that follows a repeatable pattern, it can probably be automated.
Our free AI readiness audit takes 60 seconds and will tell you exactly which parts of your business are automatable and what the expected ROI would be.
Frequently Asked Questions
How long did it take to automate the bakery?
The initial system (Phase 1) was built and live in under 2 weeks. This included the order form, production dashboard, WhatsApp confirmations, and delivery route planning. Phase 2 (payment matching engine) was delivered one week later. The bakery was fully automated within 3 weeks of starting.
How much did the bakery automation cost?
The project was scoped after discovery around order intake, payment matching, production planning, and delivery routing. The system saves Tunmise 50+ minutes every day (in his own words), making the ROI clear from the first month. Estimated annual saving is £20,000+ when accounting for the full value of the owner's time.
Can this kind of automation work for other food businesses?
Yes. The core components — order intake, payment matching, production scheduling, delivery routing, and customer notifications — apply to any food business that takes orders and delivers: caterers, meal prep companies, cake makers, farm box deliveries, and wholesale bakeries. We adapt the same workflow patterns to each business's specific needs.
Related Articles
Ready to Automate Your Business Like E'Manuel?
Take our free AI Readiness Audit and see exactly what we could automate for your business — with projected time and cost savings.
Get Your Free AI Audit60 seconds. No email required. See your automation score instantly.