Illustrative scenario
This is a written composite, not a real customer. The problem, the configuration and the numbers are the kind we expect to see when minidesk runs in production — they are not measurements from a named business. The first real, on-the-record case study lands the day a customer agrees to be quoted.
KL retail boutique: stock alerts that beat the supplier to the punch
Stock-low signals land in WhatsApp two days before the supplier's rep calls
Headline
11 days
Days of stock-out avoided
Powered by
Bukku · WhatsApp Business API
The problem
Two boutiques, twelve suppliers, and a till that was the first place anyone noticed a stock-out. By the time a customer asked for a size that did not exist, the order was already late, the size had been on the supplier's list for a week, and the boutique had lost the sale.
What the AI does today
minidesk reads Bukku's stock levels and the last 30 days of sales velocity per SKU. When a SKU crosses the threshold (one week of stock left at current run rate), the AI drafts a WhatsApp message to the boutique owner with the SKU, the supplier, and the order quantity suggested. The owner approves with one word, the order is placed, and the supplier gets it the same hour.
The numbers
Days of stock-out avoided in the first 90 days
11 days
Lost sales recovered
RM 14,200
was in the first quarter
Time from alert to order placed
< 3 hours
was 1 to 2 weeks
What the owner says
“The supplier's rep used to call me to tell me I was low. Now I message her first, and she has the stock ready by the time I finish my coffee.”
— Nadia, Owner, two-outlet boutique in Bukit Bintang