# Field and Distribution Analytics for FMCG

> Increase your market share in the fast-moving consumer goods (FMCG) sector. Distribution optimization and sales forecasting with location analysis.

*Source: https://nextgeography.com/en/sectors/fmcg/ · Language: en · Updated: 2025-10-21T05:58:55+00:00*

*Site index for agents: https://nextgeography.com/llms.txt*

A pale grey map of Istanbul province; over a soft blue population field, grocery points in pink covering almost the whole built-up area.

FMCG

## Which sales points are you missing?

In the Fast-Moving Consumer Goods (FMCG) sector, accurate location strategies and effective field operations are key to gaining a competitive advantage. Next Geo helps FMCG companies optimize their commercial marketing and operational activities with its rich data library and AI-powered technologies.

THE QUESTION ON THE SECTORS PAGE

Which sales points are we missing, and what route should the field team follow?

The question has two halves, and so does this page.

POINTS

Where your product reached the shelf and where it did not; which of the outlets you do not serve are worth the most, and which product belongs in each.

FIELD

Which point the team visits in what order, how the visit is recorded, and how tomorrow’s route is rebuilt from what came back.

6ANALYSIS TITLES

4SOLUTION PAGES

1PRODUCT PAGE

All three numbers can be counted from this page: the six analysis titles below, and the four solution pages and one product page they resolve into.

SAMPLE OUTPUT

### Where are we absent, and where does the team go tomorrow?

The table is a coverage scorecard for one sales territory: how many eligible outlets are still open in each district. The strip below it is one day of field visits for the district in the table’s first row. Both are outputs of the six analysis titles further down this page.

A grid of cells over metropolitan İstanbul: some of them pink, the rest pale grey.

Covered and uncovered cells of a population grid.

COVERAGE SCORECARD Sample territory · 4 districts SAMPLE

LOWEST COVERAGE RATE FIRST

DISTRICT

ELIGIBLE

OPEN

COVERAGE

Ümraniye

230

58%

Kadıköy

210

71%

Ataşehir

184

76%

Maltepe

165

83%

Four-district total

789

230

71%

The coverage rate is the share of a district’s eligible sales point universe that carries your product. These four districts hold 789 eligible outlets; you are in 559 of them and 230 are open. The open column is where new sales point acquisition starts. The bottom row is the arithmetic of the four rows above it, not a separate measurement.

DAILY VISIT ROUTE Sample field day · Ümraniye — the table’s first row SAMPLE

VISIT ORDER · 5 STOPS · 8.6 KM

01 Supermarket · Çakmak Mah. EXISTING OUTLET 1.2 km

02 Corner shop · Çakmak Mah. NEW OUTLET LEAD 0.4 km

03 Chain branch · Atatürk Mah. EXISTING OUTLET 2.1 km

04 Supermarket · Esenşehir Mah. NEW OUTLET LEAD 3.3 km

05 Kiosk · Esenşehir Mah. EXISTING OUTLET 1.6 km

Five visits, 8.6 km in total. The order comes from visit frequency and outlet potential; two of the stops are drawn from the open-outlet column in the table. The team sees the same list in Location Analysis Mobile and records the visit on site.

Sample output. Figures are illustrative. Real scorecards are produced from your own sales point list.

VALUES WE OFFER

### Six analysis titles for FMCG.

Six titles that strengthen your sales and distribution strategy with AI-powered analytics. Each one resolves into a named Next Geo solution or product; the whole row is the link, so there is no separate “more info” to repeat.

#### Points: where are we missing, and which gap is worth filling?

Sales Point Penetration Analysis

Analyze the position of your existing sales points within the market, evaluate your penetration rates, and identify growth opportunities. SOLUTION · DATA SERVICES Data Services solution→

New Sales Point Acquisition

Discover potential sales points in areas you haven’t worked in and expand your distribution network with Next Geo’s extensive point database and matching capabilities. SOLUTION · DATA SERVICES Point database and matching→

Product Segmentation

Maximize your sales efficiency with product segmentation solutions by positioning the right product at the right sales point. SOLUTION · SEGMENTATION Segmentation solution→

Revenue Forecasting

Make your strategic planning data-driven by predicting the potential revenue of your sales points on a product or SKU basis with our AI-powered forecasting models. SOLUTION · FORECASTING Forecasting solution→

#### Field: what route should the team follow?

Route Optimization

Increase your route efficiency and minimize your operational costs by optimizing the visit frequencies of your field teams. SOLUTION · OPTIMIZATION Optimization solution→

Field Visit Applications

Plan, track, and report your field teams’ visits with our mobile applications, thereby effectively managing your field operations. PRODUCT · LOCATION ANALYSIS MOBILE Location Analysis Mobile→

A grid of square cells covers the map of İstanbul in three shades of pink, palest at the edges and deepest in a cluster over the central districts and the southern Anatolian shore.

Sales Point Penetration Analysis · penetration density neighbourhood by neighbourhood

On a zoomed street map, dozens of solid navy dots mark existing sales points, pale lilac squares shade the competitor-dense blocks, and 14 pink rings inside them mark the candidates.

New Sales Point Acquisition · white space: where the competitor is and we are not

A pink route leaves the navy A marker on the shore, runs through stops numbered 1 to 5 and loops east across the city; underneath it reads 62.4 km, 14 stops and 1 day.

Route Optimization · one sequence linking a single day's stops

Points and Field is a reading order, not a separate product family: all six titles run on the same data infrastructure. The titles and their descriptions are the ones listed on the FMCG card on /en/sectors/. The first two rows resolve into the same solution page because the point database and matching they both rely on are described there.

HOW WE START

### From your outlet list to a coverage scorecard.

Three steps. Behind each one is a named Next Geo solution or product — no surprise layer in between.

A district-scale map: pink grocery points strung along the avenues over pale grey circles that grow with population.

Grocery points around Kartal and the population cells beneath them.

#### Your outlet list lands on the map

Distributor, supermarket and corner-shop lists usually arrive as addresses. They are matched, deduplicated and verified. As long as one outlet is counted twice, your coverage rate is wrong too.

Matching

Enrichment

Deduplication

Verification

#### The eligible outlet universe is built

Next to your own outlets goes the list of every point in that area that could sell your product.

Population

Business records

Outlet type

Field observation

#### Scorecard, forecast and route

Districts are ranked by coverage rate, open outlets are scored by revenue potential, and the field team’s visit order is built from those two lists.

Coverage scorecard

Open outlet list

Revenue forecast

Visit route

Your sales points are retail businesses in their own right. If you also want to work the high-street and shopping-centre structure, the brand mix or the store side of the estate, the same infrastructure is described on Next Geo’s separate Retail sector page.

NEXT STEP

### Let’s map your sales points together.

Let’s work out together which dataset and which analysis title your sales and distribution strategy needs.

Next Geo · Maslak, İstanbul · +90 (212) 276 22 33
