Overview

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.

Challenges

Traditionally, CO2 refrigeration systems are expensive and entail high energy and operating costs. Consequently, it is difficult for premium retail brands to transition from harmful systems to these environmentally friendly and sustainable CO2 systems.

As a result, the company aimed to identify the leading brands, primarily from the retail industry, supermarkets, groceries, and restaurants, that utilize large refrigeration systems in their data warehouse. Once these brands are identified, the company can conduct market analyses, study consumer behavior, assess the durability of products from such systems, evaluate carbon footprint emissions, and much more.

The company sought POI data from 38 different sub-categories within the retail industry, as outlined below, within a timeframe of 3-4 weeks.

Solutions

Xtract.io began by identifying the major brands to promote the use of CO2 systems. After identification, our GIS experts started gathering the following details about the specific brand, store, or retail-related point of interest (POI).

Results

The collected data achieved a 95% accuracy rate, was validated in-depth, and was delivered within 8-10 business days, ensuring global coverage as per the client’s request. Our POI datasets streamlined the data analysis process, enabling our customers to benefit from faster insights. The extracted location points were meticulously created and thoroughly cleansed, so Xtract.io POIdata was “analytics-ready” from the onset.

We successfully collected, manually crafted, and delivered over 1 million POI data points spanning 38 sub-categories and 1372 brands to the client.