# Site and Delivery Analytics for Food Service > Find the most suitable branch locations for the food and beverage industry. Increase your profitability with customer density and competitive analysis. *Source: https://nextgeography.com/en/sectors/food-and-beverage/ · Language: en · Updated: 2025-10-21T06:06:32+00:00* *Site index for agents: https://nextgeography.com/llms.txt* SAMPLE OUTPUT · ONE BRANCH’S SERVICE AREA FIGURES Three nested white-edged drive-time areas on a map of Istanbul, spreading from a marker on the Asian shore: a pink core, a purple ring around it, and a pale purple reach that crosses the Bosphorus. Delivery Area Optimization · real 10, 20 and 30 minute delivery boundaries SAMPLE BRANCH · KADIKÖY, İSTANBUL Order share, 0–10 min band 68% Order share, 10–20 min band 27% The far edge beyond 20 min Population, 10 min drive 84,300 Population, 20 min drive 173,500 Competing outlets in the area 95% of orders stay inside the twenty-minute band. As the far edge shrinks, so does the average delivery time — the service region is redrawn on the map from that reading. The figures are illustrative and are not real customer data. Real analyses are produced from your own branch list and — if it is connected over the API — your own order data. FOOD AND BEVERAGE ## The new branch and the delivery area come off the same map. Success in the food and beverage sector is possible not only with the product but also with the right location, effective service area, and operational efficiency. Next Geo makes a difference in both table and delivery strategies with its solutions tailored for restaurant and cafe chains. THE QUESTION ON THE SECTORS PAGE Where does the new branch go, and how far does the delivery area extend? The question has two halves: one is the branch itself, the other is the branch’s area. The table below sets them side by side, row by row. 3ANALYSIS TITLES 2SOLUTION PAGES 1PRODUCT PAGE All three numbers are countable from this page: the three analysis titles below, and the two solution pages and one product page they lead to. TWO SERVICE MODELS, ONE MAP ### Table service is a point; delivery is an area. There are two separate decisions in food and beverage and both come off the same map: one asks where the branch opens, the other asks how far that branch can deliver. They read the same layers differently — the table sets out, row by row, what each decision actually looks at. A dense pink cloud of dots following the streets across a Kadıköy, Ataşehir and Maltepe map. The fabric of food and drink points at street scale. TWO SERVICE MODELS, BY DECISION INPUT DECISION INPUT Table serviceTHE BRANCH ITSELF DeliveryTHE BRANCH’S AREA Question Where the branch opens How far the area reaches Scale Street, mall, cloud kitchen The drive-time band around it Layers Footfall, income, demographics Time, distance, volume Competition Rival outlets in the area The far edge that delays Check A field visit and a score Your own order log Output A candidate score The service area boundary Solution Location and Area Selection Optimization Both columns are checked against the same input: once your order addresses are connected over the API, the candidate score and the area boundary are each compared with your own records. Both columns are answered on this page: Delivery Area Optimization for the branch’s area, and Branch Opening Strategy with Location Selection for the branch itself. VALUES WE OFFER ### Three analysis titles, three separate outputs. The first two are the two columns of the table above: one places the branch, the other draws the area. The third sits underneath both — it connects your own order data to each of them. FIRST HALF OF THE QUESTION · BRANCH #### Street, shopping mall or cloud kitchen? We determine the most suitable locations for new branch openings by analyzing layers such as demographics, competition, income level, and pedestrian traffic. We guide investment decisions by measuring potential with different scenarios for street stores, shopping mall areas, or cloud kitchen points. Location and Area Selection→ A cream card on a navy field, ruled with magenta down its left edge: under the BRANCH SCORE label a huge magenta 86 stands beside a small /100, with the candidate site named below a hairline. Branch Opening Strategy with Location Selection · a candidate branch site and its branch score SECOND HALF OF THE QUESTION · AREA #### Where should the service region run on the map? We optimize the service areas around existing restaurants with criteria such as time, distance, and potential customer volume. Service regions are redefined on the map to shorten delivery times, reduce costs, and increase customer satisfaction. Optimization solution→ The sample output for Delivery Area Optimization is at the top of this page: the drive-time bands set around one branch by a target delivery time, and the share of orders falling in each. The sample output at the top of this page THE INPUT THAT FEEDS BOTH COLUMNS #### What does your own order log say? Thanks to Next Geo’s API infrastructure, the online order data of restaurant chains can be integrated into the Location Analysis Web platform. With this integration, the geographical distribution of orders is analyzed, performance density is visualized, and new branch needs can be predicted at an early stage. Setup and Integration product→ Order Data Integration (via API) — order addresses are sent over the API and the matched address is given a delivery zone. Sample orders matched 8,840 / 8,841 Delivery zone assigned Z-03 SAMPLE Sample output · Order Data Integration (via API). The record counts and the zone code are illustrative. The two columns of the table above are the first two of these titles; the third is the check line underneath it. HOW WE START ### From your branch list to a delivery area. Three steps. Behind each one is a named Next Geo solution or product; there is no surprise layer in between. A pink city-scale fabric of food and drink points on a map running from Beylikdüzü to Pendik. The food and drink fabric at city scale. #### Addresses become points Your branch list and — if you share them — your order addresses arrive as addresses; they are matched, enriched, deduplicated and verified. As long as one point sits on the wrong coordinate, everything said about its surroundings is wrong. Matching Enrichment Deduplication Verification #### Candidate areas and service bands are drawn Candidate points come down from a province, district and neighbourhood scan to street or shopping mall scale, and each one resolves into a single potential score. Around existing branches, time and distance bands are produced instead — and compared against your order data where it is connected. Demographic Compatibility Competitive Landscape Analysis Mobile Mobility Influence of Key Attraction Points #### A scorecard, an area and a report Candidates are ranked on one score, service regions are redefined on the map, and the decision is written into a report. The two samples on this page — the delivery area at the top and the candidate branch score beside the first title — are the output of this step. Candidate branch score Delivery area Micro Location Report If delivery is run by a fleet rather than by your own couriers, the same infrastructure works there too: Next Geo has a separate Fast Delivery sector page. How much a new branch will actually take is not one of these three titles — that is what Forecasting is for. NEXT STEP ### Let’s get the flavor to the right place. Bring your branch list and your order data, and we will work out together which analysis title you actually need. Next Geo · Maslak, İstanbul · +90 (212) 276 22 33