What brands assume about replenishment
The standard distribution model assumes that supermarket accounts reorder when stock reaches a defined reorder point, that deliveries happen on a predictable schedule, and that the brand's warehouse receives orders far enough in advance to ensure no shelf gaps occur. In developed market retail, this assumption is largely correct because of automated inventory management and EDI-linked ordering systems.
In Nigerian modern trade, none of these assumptions hold reliably. Reorder decisions are made manually by store managers or buyers who are managing hundreds of SKUs simultaneously. Trigger levels are informal and inconsistently applied. Delivery lead times vary depending on driver availability, traffic, and the distributor's own stock levels. The result is a replenishment pattern that is reactive, irregular, and heavily influenced by who visits the store most frequently.
What field data shows about actual reorder cycles
DALA field data from 300+ Lagos modern trade accounts shows that, on average, an account that is visited weekly places a replenishment order 2.3 times per month. An account with only monthly field visits places a replenishment order 1.1 times per month. This is not merely a statistical correlation: it reflects the mechanism by which replenishment happens in Nigerian modern trade.
| Visit Frequency | Avg Orders/Month | Revenue Index | Avg OSA |
|---|---|---|---|
| Twice weekly | 3.4 | 142 | 93% |
| Weekly | 2.3 | 100 (base) | 88% |
| Fortnightly | 1.6 | 74 | 78% |
| Monthly | 1.1 | 52 | 65% |
Source: DALA field operations data, Lagos modern trade accounts 2024–2025
The account receiving weekly visits generates an average of 100 on the revenue index. The same account type receiving only monthly visits generates 52. Visit frequency, not product quality or market size, is the primary driver of replenishment frequency.
Why reactive replenishment creates structural stockout risk
Reactive replenishment means a store reorders only when stock is visibly low, or more often, after it has run out. The time between stock reaching zero and a replenishment delivery arriving is typically one to three days in the Lagos market. During those days, the shelf is empty and consumers who arrive looking for the product leave without buying it.
For a product selling 20 units per day, a two-day stockout event loses 40 sales. If this happens three times per month because replenishment is always reactive rather than proactive, the brand loses 120 units per month, roughly 17% of potential monthly volume in that store. Across a portfolio of 100 accounts, those reactive stockout events compound into significant revenue loss.
Proactive replenishment, triggered by field visit observation before the shelf runs out, eliminates most of this loss. A field representative who visits a store and observes stock at four to five days of remaining supply can initiate a replenishment order immediately, ensuring delivery before the shelf goes empty.
Back-stock and shelf conversion
A less-discussed but commercially significant replenishment failure is back-stock that is present in the store but not making it onto shelves. DALA field data shows that in approximately 23% of visit observations, product is identified in back-of-store stock that has not been moved to the shelf despite the shelf being partially depleted. This is particularly common for smaller stores with less organised stockroom management.
The field representative's role in these cases is to assist with shelf replenishment directly during the visit, moving product from the stockroom to the shelf and ensuring the facing count is correct. This prevents what would otherwise be a pseudo-stockout: the shelf appears partially empty to consumers and generates a lower sales signal, but the underlying supply was not actually insufficient.
DALA brand reports include back-stock observations as a separate data point, so brands can see whether their replenishment challenges are supply-side, delivery-side, or store-operations-side.
