The Business Need

Headquartered in San Fransisco, this energy recovery device manufacturer aims to solve the complex challenges of refrigeration systems in commercial and industrial space. They manufacture Co2 refrigeration systems that can be used instead of super-polluting hydrofluorocarbons (HFCs) refrigeration systems to store dairy products, frozen food, meat, or other food products.

Their highly -efficient devices reduce the energy consumption and operating costs of CO2 refrigeration systems and increase their efficiency, particularly in higher ambient temperatures. Their target audience for this type of refrigeration system is grocery stores, supermarkets, and retail brands that use refrigeration systems in their warehouse to store food products.

The company wanted the POI data of these target audiences from the US location to pitch their highly reliable and sustainable energy recovery devices.

Challenges

Traditionally, Co2 refrigeration systems are costly and require high energy and operating costs. Therefore, it is challenging for high-end retail brands to switch from polluting systems to this environment-friendly and sustainable Co2 systems

Therefore, the company wanted to identify the more prominent brands primarily from the retail industry and supermarkets & grocery, restaurants, etc. who use large refrigeration systems in their datawarehouse. Upon identifying these brands, the company can perform their market analysis, consumer behavior, the durability of products from such systems, carbon footprint release, and many more.

The company wanted POI data from 38 different sub-categories from the retail industry as mentioned below in 3-4 weeks.

Catagories # of domains Catagories # of domains
Arts and crafts 6 Housewares 2
Beauty products 32 Luggage 4
Book stores 32 Luggage 4
Charging stations 3 Music, Video and DVD 3
Clothing 167 Official supplies 3
Computer and Electronics 12 Paint 5
Convenience store 271 Pawn shops 2
Departmenta store 61 Pawn shops 3
Discount store 13 Pets 14
Florists 2 Photos and frames 2
Food and Beverage 14 Shoes 44
Fuel stations 110 Sporting good 38
Furniture and decor 41 Super market and groceries 392
Gift and Novelty 9 Telecom 9
Glasses 16 Tobacco 1
Hardware stores 18 Toys 4
Health and died foods 9 Video games 1
Home centers 17 Warehouses and wholesale stores 4
Home improvement 1 Watches and Jewellery 27
Total # of Domains 1372

Xtract.io Analysis & Solutions

Xtract.io started by identifying the major brands to inculcate the usage of Co2 systems. Upon identifying, our GIS experts started collecting the following details of the specific brand, store, or retail-related POI.

Output Datapoints
Domain ID Location Name
Street Address Address Extended
Locality Region
Zip code Telephone
Country Catagory
Website Hours of Operations
Telephone Latitude & Longitude

The data collected was 95% accurate, validated in-depth, and was delivered in 8-10 business days ensuring global coverage as requested by the client. Through our POI datasets, the data analysis process for our customer become easier and faster as the extracted location points was accurately created and cleansed thoroughly. Xtract.io POIdata was “analytics-ready” right from the word go

A total of 1M+ POI data for 38 sub-categories, across 1372 brands were collected, crafted manually, and delivered to the client successfully.

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