How FMCG distributors find new outlets to supply

FMCG distributors find new outlets by keeping a living map of every shop that could stock their products in each territory, comparing it with the outlets they already serve, and sending reps to the gaps and to the newest shops first. The first supplier through the door of a new grocery, kiosk or pharmacy usually keeps the shelf space, so the goal is to know about a shop in its first week, not its third month. Everything else, from scoring outlets to planning the day's route, follows from that map.

This article is for sales and trade-marketing managers at distributors and consumer-goods brands, and for the reps who walk the streets. It covers what an outlet universe is, the decisions it drives, the signals worth watching, an AI employee that runs the hunt daily, and the habits that let coverage quietly slip.

The outlet universe and why it decays

An outlet universe is the full list of shops in a territory that could sell your products, whether you serve them or not. Distributors used to build it with a census: reps walking every street once a year with a clipboard. The problem is that it starts going stale the day it is finished. Shops open, close, change owners and change what they sell all year long, and a census only shows that once a year.

Keeping the universe live changes the questions a manager can answer each week: what share of the outlets in this district do we serve? Which new shops opened since Monday? Which customers have closed, so their credit and stock can be recovered? Which rep has the most unvisited outlets on their patch?

Channels look different in every city

Whether you sell to a head office or door to door depends on how much of a channel is in chains. xMap's places database, counting within 10 km of each city centre in November 2026, shows how far that varies even within one kind of shop:

xMap's places database, within 10 km of each city centre, November 2026. In London, chains and independents are of the 437 supermarkets nearest the centre; in Sydney and Toronto, of all of them.

London's circle holds far more supermarkets than the other two, and of the 437 nearest its centre about two in three belong to a chain, so most of that channel is decided in buyers' offices. In Toronto and Sydney the independents are the majority, and the field team matters more. Most distributors in fast-growing cities such as Nairobi, Lagos, Jakarta or Lima work a channel that is mostly independent kiosks, small groceries and pharmacies, which is exactly where a live outlet map pays off.

Signals worth watching

• New outlets. Shops that opened in the last 6 or 12 months, from the Nearby places block. Places with no opening date are left out of that search, so also run a plain "not seen before" search across the territory.
• Outlets you do not serve. Match with my table compares each shop with your customer list by name, phone number or website, and keeps only the ones you have not got.
• Customers that closed. The What changed block flags places the flow found before that are now closed, so credit control and the rep hear about it.
• Potential. Rating, number of reviews, independent or chain, and the kind of shop together make a reasonable first guess at volume. An xMap LLM step can turn them into a grade.

The AI employee, step by step

Take a made-up beverages distributor in Nairobi with six reps:

1. Schedule: every weekday at 06:00.
2. Area of interest: the districts the company delivers to, drawn on the map.
3. Nearby places: convenience stores, groceries, supermarkets and kiosks across the area, with Cover the whole area on so the edges are searched too.
4. Only new: only outlets this flow has not found before.
5. Match with my table: against the customer list in My data, keep only the outlets not found there.
6. xMap LLM: grade each outlet A, B or C on likely volume, with a one-line reason.
7. Split by territory: six reps, compact areas of about the same size, so each outlet gets an owner.
8. Route planner: one route for each rep, from the depot, in the best visiting order.
9. Email once per run to the sales team: every new outlet with its rep, its place in that rep's route and its grade.

By 06:15 the team has the day's new outlets, each with an owner, a place in a route and a reason to stop. The same items can go to each rep's phone through a WhatsApp or Slack block instead. Once a month, a second flow without Only new counts the whole universe per district against your customers, which gives the coverage figure for the sales meeting.

Habits that let coverage slip

• A census once a year. By the time it is analysed, part of it is out of date. Search the territory on a schedule instead.
• Searching from the city centre only. Wide cities hide many outlets far from the middle. Use Cover the whole area or draw the districts.
• Leads with no owner. A new outlet that goes to a shared inbox gets visited by nobody. Split by territory gives every one a rep.
• Visiting in list order. An unordered list of twelve shops wastes half a day in traffic. Let the route planner order them.
• Never looking at closures. Closed customers keep receiving stock and credit until someone notices. Watch them with What changed.

Ready-made flows: new outlets on my routes, prioritised, to the nearest rep, new outlets, graded and routed to each rep, a monthly outlet census of my city and customers that closed or moved, with what to do. The FMCG and distribution page has the rest. If your reps also write to new shops, see outreach that waits for your approval.