Micro-Fulfilment Centre (MFC)

What Is a Micro-Fulfilment Centre (MFC)?

The format exists to solve one problem, which is distance. A delivery promise measured in minutes cannot be met from a regional warehouse however efficient it is, so the stock is pushed out to many small sites close to the customers, each carrying a narrow range chosen for local demand. What is given up is range and storage capacity; what is bought is proximity.

Everything about verification is harder as a result. There is no window in which the site stands still, because it trades continuously and receives replenishment outside those hours. There are hundreds of locations rather than a handful, so a common count date across the network is expensive to arrange and counts taken weeks apart are not comparable. Stock turns fast enough that a position verified on one date says little about any other. The workable answer is rolling zone counting for control through the period, with a sampled simultaneous count where a network figure has to be stated for a date.

Which Sectors Use Micro-Fulfilment Centre (MFC) and Why

The format exists wherever a delivery promise is short enough that distance becomes the binding constraint.

• Quick commerce grocery, which is where the model is most fully developed in India and where the promise is measured in minutes.
• Pharmacy delivery, where urgency is genuine and the range is narrow enough to hold locally.
• Restaurant and meal aggregation, operating dark kitchens on the same logic applied to preparation rather than to picking.
• Urban convenience retail, where a small back-of-store operation increasingly serves online orders alongside walk-in trade.
• It has no place in industrial distribution or bulk supply, where order sizes are large, lead times are measured in days and proximity buys nothing worth its cost.

How Micro-Fulfilment Centre (MFC) Works in Practice

1. A site is taken close to a dense pocket of demand, sized for throughput rather than storage and stocked with a narrow range chosen from local order history.

1. Replenishment arrives from a larger facility on a short cycle, frequently daily, because the site holds only days of cover rather than weeks.

1. Orders arrive continuously through trading hours. Picking runs against a promise measured in minutes, with routes optimised so pickers cross the floor as little as possible.

1. Verification cannot stop the operation, so counting runs zone by zone. A zone is closed to picking, counted, and released, while fulfilment continues everywhere else on the floor.

1. Movements at the zone boundary during the freeze are logged and reconciled afterwards rather than ignored, and the site's results are compared against other sites by category, since a location carrying more high-loss lines will look worse while performing identically.

Micro-Fulfilment Centre (MFC): A Worked Example

A quick-commerce operator compares one city warehouse against one dark store serving a three kilometre radius.

The dwell figure is what forces everything else. Stock that turns 96 times a year is entirely replaced roughly every four days, so a quarterly count at a micro site would be counting stock that did not exist at the previous count and will not exist at the next. The count frequency is therefore driven by turnover rather than by size or value. The small SKU range is deliberate: at this velocity every additional line adds picking complexity in a confined space, and the assortment is chosen for what sells within minutes rather than for breadth.

Common Mistakes With Micro-Fulfilment Centre (MFC)

Applying warehouse habits to this format is where most of the trouble starts.

• Planning a full count that requires the site to stop, when the delivery promise is the product and suspending it withdraws the site from the market.
• Aggregating counts taken weeks apart into a network figure, which describes no moment that ever existed and makes site comparison meaningless.
• Staffing the count with pickers between orders, who will prioritise the order every time and produce sheets nobody should rely on.
• Counting every line at the same frequency, when a small number of fast movers generate almost all the drift.
• Judging a site on its own variance without comparing categories across sites, so a location carrying more high-shrinkage lines looks worse while performing identically.

Related Stock Audit Terms

Getting the right unit off the shelf is the format's dominant failure, so pick accuracy is the entry to read next. Every other term in this cluster is listed in the A-Z of stock audit terms, grouped by the part of the work it belongs to.