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Market Intelligence  |  Nigeria  |  May 2026

The Distribution Ecosystem in Nigeria's Commerce

Mapping the route to market from importer to open-market trader, and where margin, information and power actually sit in the chain.

Market Study · PDF

Executive Summary

Nigeria's distribution system is often described as fragmented. It is more accurately described as densely intermediated — each layer performs a real function, most commonly credit provision and demand aggregation.

This study maps five representative categories from landing to final sale.

Key Findings

4.3

average intermediaries between manufacturer and consumer

Ranging from 2 in modern trade to 6 in rural distribution.

47%

of distributor value-add is informal credit

Not logistics — the chain is fundamentally a financing chain.

22 days

median stock cycle at sub-distributor level

A key constraint on manufacturer demand visibility.

01

The chain is a credit system

Manufacturers tend to view distributors as logistics partners. In practice the dominant service provided down the chain is trade credit, extended informally and priced into product margin rather than stated as interest.

Any attempt to disintermediate the chain without replacing that credit function fails predictably — a pattern observed repeatedly across direct-to-retail experiments since 2019.

Figure

Margin distribution across the chain

Manufacturer
34
Key distributor
21
Sub-distributor
17
Wholesaler
13
Retailer
15

Weighted across five FMCG categories.

02

Information asymmetry as the core inefficiency

Sell-out data rarely travels upstream. Manufacturers plan against sell-in, creating oscillating stock positions that amplify toward the base of the chain.

Categories that have introduced even rudimentary sell-out reporting show materially lower stock variance and fewer emergency price actions.

“Ranging from 2 in modern trade to 6 in rural distribution.”

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The Distribution Ecosystem in Nigeria's Commerce

The full report includes complete methodology, detailed data tables, category breakdowns and implications for decision-makers.