A leading national industry association wanted to understand the ownership structure of both its members and potential member organisations. Among other uses the results would be used to survey the identified businesses to get deeper insights into the different ownership structures - in particular they were interested in employee owned businesses. Reading the web content available for candidate businesses and also correlating that with official data, our machine reading AI was able to identify a broad range of relevant businesses - and demonstrate a significant increase in coverage on previous studies. With the businesses identified, the crawl was extended to find key individuals in the businesses who formed the sample frame for the survey.
A regional promotion agency for an area with a traditional presence in car manufacturing wanted to understand the region’s growing expertise in the electric vehicle sector and related supply chain. glass.ai was engaged to use its AI based web research capability to build a map of the EV sector and also map the supply chain of companies that fed into the sector and the onward supply chain of customers. Additionally, the agency wanted to engage with the players in the industry to see what help the sector needed to expand outside of the region and into other countries. This involved producing a targeted sample with contact details and key people for businesses that were more likely to benefit from such engagement. For this, glass.ai identified signs of growth in these businesses through its automated web research to help prioritise the contact strategy.
Trade is an important aspect of growth for the economy of any country so it is something that governments regularly need to monitor and want to capture inputs from the businesses involved. This is easier for industries where products are being physically shipped abroad, for service industries and sectors where products are being offered remotely (e.g. SaaS or streaming products) this is much more difficult. In partnership with a global market research firm, we have used our AI language understanding capability to read the web for signs of businesses being active in certain countries, for example local employees or offices, customers, press announcements or job ads, to build sample frames of businesses to contact. Together with classifying these businesses within product or services industries, this has enabled a number of surveys to be run for government trade departments to better understand the activity that is taking place.
“We have made some excellent use of the glass.ai data. We cannot thank you enough for your efforts, in enabling us to hit an audience previously out of reach to us.”
