Automation That Actually Works
These are not sales brochures. They are real scenarios modelled on the kinds of businesses we work with every day across Gauteng and South Africa. The companies are anonymised, but the problems and the numbers are based on what we see on the ground.
Note: All case studies below are based on real-world patterns common across South African businesses. Company names are anonymised. Figures are modelled estimates based on typical project outcomes. Your results will depend on your specific operations, systems, and team.
Regional Logistics Operator, Gauteng
20 drivers, 80-100 deliveries per day, operating across Gauteng and North West Province
The Situation
This company had been running the same way for twelve years. Dispatch was done from a whiteboard. The coordinator arrived at 4:30am every morning to plan routes by hand, calling drivers individually to give them their loads. PODs were paper slips that came back in a folder at the end of the day, sometimes two days later. Admin staff would then type POD data into Sage to generate invoices.
Invoices went out 5 to 7 days after delivery. They were losing 3 to 5 PODs per week. Client disputes were a monthly headache. The accounts team spent the first week of every month chasing down proof of delivery before they could even start invoicing.
What We Built
AUTOMATED WORKFLOW
Client places order (email / portal / phone)
|
Order logged in system automatically
|
System assigns driver based on:
- Area/route
- Vehicle capacity
- Current load
|
Driver gets WhatsApp message:
"New job: 3 pallets to ABC Warehouse,
14 Industrial Rd, Midrand.
Contact: John 082 XXX XXXX"
|
Driver confirms acceptance
|
Client gets notification: "Your delivery
is scheduled. Driver: Thabo. ETA: 10:30am"
|
On delivery: Driver captures:
- Photo of goods at location
- Client e-signature
- GPS + timestamp (automatic)
|
POD syncs to dashboard instantly
|
Invoice auto-generates from delivery data
|
Invoice sent to client (email + WhatsApp PDF)
|
Payment tracking activates:
Day 7 → Friendly reminder
Day 14 → Follow-up
Day 30 → Alert to accounts manager
Results After 90 Days
0
Lost PODs per week
(was 3-5)
Same day
Invoicing speed
(was 5-7 days)
92%
Fewer disputes
(GPS + photo proof)
65 hrs
Admin time saved/month
(dispatch + POD + invoicing)
ROI Breakdown
Assumptions: 2 admin staff at R22,000/month each. 1 dispatch coordinator at R25,000/month. Average 80 deliveries/day, 22 working days/month.
| Metric | Before | After | Impact |
|---|---|---|---|
| Dispatch time per day | 3.5 hours | 25 minutes | 88% reduction |
| POD processing time | 4 hours/day (admin) | 0 (automatic) | 100% eliminated |
| Invoice turnaround | 5-7 days | Same day | 5-7 days faster |
| Days to payment (avg) | 38 days | 19 days | 50% faster |
| Lost/disputed PODs per month | 15-20 | 0 | Eliminated |
| Estimated monthly savings | R48,000 - R62,000 |
Savings calculated from: admin time reallocation (R28,000), reduced disputes and credit notes (R8,000-12,000), improved cash flow from faster invoicing (R12,000-22,000 interest/opportunity cost).
FMCG Distributor, Johannesburg
450 invoices per month, 6 sales reps, distributing to 120+ retail outlets across Gauteng
The Situation
The accounts team consisted of two people. One spent roughly 60% of her time on invoicing. Orders came in via email, WhatsApp, and phone calls from sales reps. She would manually create each invoice in Sage, cross-referencing prices from a spreadsheet that was "mostly up to date."
Errors crept in constantly. Wrong pricing, duplicate invoices, invoices that went to the wrong contact person. Month-end was brutal. She worked late for the first five days of every month just to close the books. Payments came in slowly because invoices went out late and follow-ups happened when someone remembered.
The business owner told us his average days-to-payment was 42 days. His actual credit terms were 30 days. That 12-day gap was costing him real money in cash flow pressure and overdraft interest.
What We Built
AUTOMATED INVOICING WORKFLOW
Sales rep captures order
(mobile form or WhatsApp message)
|
Order logged with correct pricing
(pulled from master price list, auto-updated)
|
Delivery confirmed (POD or warehouse release)
|
Invoice auto-generated in Sage
- Correct pricing
- Correct VAT
- Correct contact details
|
Invoice sent automatically
- Email to accounts contact
- WhatsApp PDF to buyer
|
Payment tracking begins
Day 0 : Invoice sent + logged
Day 25 : Friendly payment reminder
Day 31 : Follow-up with statement
Day 45 : Escalation to sales rep + manager
|
Payment received
→ Auto-reconcile with Sage
→ Update customer account
→ Flag any discrepancies
Results After 90 Days
24 days
Avg days to payment
(was 42 days)
96%
Invoice accuracy
(was ~82%)
48 hrs
Admin time saved/month
(invoicing + follow-up)
Zero
Late month-end closes
(was 5 days late avg)
ROI Breakdown
Assumptions: 1 accounts person spending 60% time on invoicing (salary R26,000/month). 450 invoices/month. Overdraft facility at prime + 2%.
| Cost Area | Before (monthly) | After (monthly) | Savings |
|---|---|---|---|
| Admin time (invoicing) | R15,600 (60% of salary) | R3,900 (15% oversight) | R11,700 |
| Credit notes (pricing errors) | R18,000 avg | R2,200 | R15,800 |
| Overdraft interest (late payments) | R14,500 | R4,800 | R9,700 |
| Month-end overtime | R4,200 | R0 | R4,200 |
| Total estimated savings | R41,400/month |
Project cost was R35,000 setup + R5,000/month ongoing. Full ROI achieved in under 5 weeks.
Auto Parts Distributor, East Rand
3,200 SKUs, 5 warehouse staff, 80-120 orders picked per day, 2 branches
The Situation
Stock accuracy sat around 78%. Nobody trusted the numbers. The warehouse manager kept his own notebook because "the system is never right." Every quarter they would shut down for two days to do a full physical count, and every quarter they would find between R120,000 and R200,000 in discrepancies.
Picking was done off printed lists. A picker would walk to Bay 14, find the shelf empty, walk to the office, check if stock was moved, then walk to Bay 22 where it actually was. This happened fifteen, twenty times a day. Meanwhile, customers waited for orders that should have shipped that morning.
The annual stock write-off was R180,000. That is money that simply disappeared because nobody could track where it went.
What We Built
AUTOMATED WAREHOUSE WORKFLOW
RECEIVING
Goods arrive → Scan barcode / enter manually
|
Stock levels update instantly
Bin location assigned automatically
Supplier invoice matched to PO
|
PICKING
Order comes in → Pick list auto-generated
(optimised route through warehouse)
|
Picker confirms each item via phone/scanner
Stock deducted in real time
|
MONITORING
Stock below threshold?
→ Auto-generate purchase order draft
→ Notify procurement via WhatsApp
|
No movement for 90 days?
→ Flag as dead stock
→ Alert warehouse manager
|
COUNTING
Continuous cycle counts replace annual shutdown
→ System selects 20 SKUs/day for verification
→ Discrepancies flagged immediately
|
REPORTING
Dashboard shows:
- Real-time stock levels across branches
- Stock accuracy %
- Shrinkage tracking
- Reorder status
Results After 6 Months
97.2%
Stock accuracy
(was 78%)
0.3%
Pick error rate
(was 5.1%)
R22,000
Annual write-off
(was R180,000)
Zero
Shutdown stock counts
(was 4 per year)
ROI Breakdown
Assumptions: 5 warehouse staff avg R16,000/month. 3,200 SKUs across 2 branches. 2-day shutdown per quarter for physical count.
| Impact Area | Before (annual) | After (annual) | Annual Savings |
|---|---|---|---|
| Stock write-off / shrinkage | R180,000 | R22,000 | R158,000 |
| Quarterly shutdown costs (lost revenue) | R96,000 (4 x 2 days) | R0 | R96,000 |
| Pick errors (re-picks, returns, credits) | R72,000 | R4,300 | R67,700 |
| Wasted picker time (searching for stock) | R38,400 | R3,200 | R35,200 |
| Total estimated annual savings | R356,900/year |
Project cost was R75,000 setup (Operations Suite) + R25,000/month. Annual automation cost: R375,000. Net savings in year one: marginal. But from year two onward, with setup cost amortised, net benefit exceeds R280,000 per year. The real win is the stock accuracy, which prevents lost sales worth significantly more.
Ready to See What Automation Could Save Your Business?
Every business is different. The numbers above are modelled estimates, but they reflect real patterns we see across South African companies every week. The best way to know what automation would do for your specific operation is to talk to us. No sales pitch. Just an honest look at your processes and where the biggest wins are.
Learn More
Workflow Automation Guide
Complete guide to workflow automation
Business Process Automation
End-to-end BPA guide for SA businesses
Operations Automation
Automate your entire operations
Logistics Automation Services
Automation built for logistics
Pricing
Transparent packages from R15,000
Logistics Workflow Automation
Deep dive into logistics workflows