The verdict in three sentences
Automatic reorder alerts turn "gut-feel" restocking into a decision computed from your average sales and supplier lead time. Well configured, they avoid up to 80% of stockouts while ending the panic orders that inflate overstock. The key is the reorder point: the stock level that triggers the alert just in time, neither too early nor too late.
Computing the reorder point
The reorder point is no mystery: it is what you sell during the lead time, plus a safety margin. Formula: reorder point = (average daily sales × supplier lead time) + safety stock.
| Parameter | Role | 2026 example |
|---|---|---|
| Average daily sales | Sell-through pace | 10 units/day |
| Supplier lead time | Days from order to delivery | 7 days |
| Safety stock | Buffer against surprises | 20 units |
| Reorder point | Trigger threshold | (10×7)+20 = 90 units |
| Quantity to order | Optimal volume | Per turnover and price |
Gut-feel vs data-driven restocking
Gut-feel restocking always swings between two errors: ordering too late (stockout) or too early and too much (overstock). Alerts settle it.
| Criterion | Gut-feel restocking | Data-driven 2026 |
|---|---|---|
| Trigger | "We're almost out" | Computed reorder point |
| Stockout rate | High | ~-80% |
| Overstock | Frequent | Reduced |
| Lead time factored | No | Yes, per supplier |
| Seasonal forecast | Memory | Sales history |
| Mental load | Constant | Targeted notifications |
| Cash flow | Tied up | Optimized |
The parameters of an effective alert
An alert only helps if it is fine-grained: per product, per supplier, and tuned to seasons.
| Alert parameter | Why | Effect |
|---|---|---|
| Per-product threshold | Each item has its pace | Relevant alerts |
| Per-supplier lead time | Lead times vary | Order at the right moment |
| Safety stock | Absorbs spikes | Fewer stockouts |
| Seasonal adjustment | Holidays, back-to-school, Tabaski | Anticipates demand |
| Notification channel | WhatsApp / SMS / email | Fast reaction |
| Quantity suggestion | Avoids over/under-ordering | Protected cash flow |
Mini case study
Aminata runs a pharmacy-parapharmacy in Dakar. On a flagship product she sells 10 units/day, her supplier delivers in 7 days, and she keeps 20 units of safety stock: her reorder point is therefore 90 units. Before alerts, she stocked out twice a month, losing about 15 sales each time, i.e. 30 sales/month at 3,000 FCFA margin = 90,000 FCFA/month of lost margin. With an automatic alert at the 90-unit threshold, stockouts drop to near zero. She recovers most of that 90,000 FCFA/month for a tool at an order of magnitude of 15,000 FCFA/month.
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FAQ
How does the system know my average sales?
It computes them from the history logged by your stock app or POS. The longer the history, the more reliable the average (and the seasonal forecast).
Can I get alerts on WhatsApp?
Yes, in 2026 good solutions notify by WhatsApp, SMS, or email as soon as a product hits its reorder point, so you react before a stockout.
How do I handle varying supplier lead times?
You set a lead time per supplier and a safety stock that absorbs variability. A slow or irregular supplier justifies a bigger buffer.
Do alerts handle seasons like Tabaski?
Yes, a good system adjusts thresholds for high-demand periods (holidays, back-to-school, Tabaski) using previous years' history.
What concrete gain can I expect?
As a 2026 order of magnitude, roughly an 80% reduction in stockouts and lower panic overstock, so more sales served and less cash tied up.
Let's talk about your project. We configure your reorder alerts per product and supplier, delivered on WhatsApp. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
