The Daily "Guesstimate" That's Costing You
Every morning, Mama Akinyi, who runs a small food kiosk (kibandaski) in Industrial Area, faces the same question: "How many chapatis should I make today? How much beef stew? How much rice?" She guesses. Some days, she runs out by 1 PM and turns away hungry customers. Other days, she throws away unsold food worth KSh 800 at closing.
Then she started using a simple dashboard that analysed her last month's sales by day of the week. It told her exactly how many portions of each dish she sold on, say, an average Tuesday. She started using that data as her prep list. Her food waste dropped by 40% , and her stock-outs dropped significantly too.
How the "Smart Prep List" Works
Step 1: Record Daily Sales by Item
Mama Akinyi uses a simple POS (even a tablet with the Stonehenge Digital dashboard) to record every sale: 2 chapatis, 1 beef stew, 1 rice. She does this for a month.
Step 2: Run the "Sales by Day of Week" Report
The dashboard generates a table:
| Day | Chapatis Sold (Avg) | Beef Stew Sold (Avg) | Rice Sold (Avg) |
|---|---|---|---|
| Monday | 50 | 20 | 15 |
| Tuesday | 45 | 18 | 12 |
| Wednesday | 60 | 25 | 20 |
| Thursday | 55 | 22 | 18 |
| Friday | 70 | 30 | 25 |
| Saturday | 35 | 12 | 10 |
Step 3: Generate the Daily Prep List
On Tuesday morning, the dashboard tells her: "Prep: 45-50 chapatis, 18-20 beef stew portions, 12-15 rice portions." She preps to the higher end of the range to allow for a slight buffer, but not wastefully over-produces.
Step 4: The "Special Day" Override
The dashboard also allows her to input "special factors": "End-month (workers have money) – increase prep by 15%." Or "Rains expected – decrease by 10%." These adjustments layer on top of the baseline data.
The Financial Impact
Food waste dropped from an estimated KSh 600-800 per day to KSh 300-400. That's KSh 9,000-12,000 saved per month. Her stock-outs reduced, increasing revenue by an estimated KSh 5,000 per month. The net monthly improvement was around KSh 15,000—enough to hire an extra pair of hands.
Stop guessing how much to cook. Let your sales data tell you.
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