By Indeed Editorial Team

Small and medium-sized businesses (SMBs) have always faced unique recruitment challenges. With a tighter staff, lower budgets and less brand recognition than larger companies, SMBs have to be more strategic and resourceful when sourcing talent for open roles. The need for better matching technology – where employers are quickly put in touch directly with quality applicants – has never been greater. 

'We live in a world where recommendations drive our daily actions, from choosing your next TV series to stream to the food you’ll order when watching that show', says Raj Mukherjee, Indeed’s EVP and GM of Employer. 'The recruitment industry, arguably where fast and accurate recommendations are needed most, has largely yet to modernise its approach with the use of data-driven matching technology.'

That is, until now. 

The current recruitment landscape

The traditional recruitment process as it stands today is often highly inefficient for jobseekers and employers alike. One of the top recruitment barriers employers face is the lengthy time it takes to find the right candidate, especially as the labour market remains tight. In addition, once they find the talent they need, many candidates ghost interviews or the first day of the job, while many jobseekers never hear back from prospective employers. 

Now, consider a world in which algorithms, machine learning and deep neural networks work behind the scenes to efficiently match employers with high-quality candidates while connecting jobseekers with better work – all in one place.

A data-driven approach to recruitment and hiring

As the number one source of hiring people worldwide, Indeed's extensive data set enables it to constantly learn and experiment in order to create better matches than anyone else. The intelligent matching capabilities go beyond CV scanning to look at user behaviours, such as search terminology, and learn from employer feedback in order to make quality connections tailored to each company’s unique recruitment needs. 

'Every day we’re analysing an average of 140 million qualifications and preferences to deliver quality matches to employers – and most importantly, making a lasting impact on the recruitment process', says Mukherjee.

Plus, Indeed’s data-based matching approach helps break down recruitment barriers by focusing on skills and experience that match each job’s qualifications. For example, while someone who has worked as a cashier for years might not be aware that they have all the skills needed to be a bank teller, Indeed can step in and recommend these roles to them, regardless of whether or not they are actively looking for a job. This helps to widen the talent pool for employers and support better work for all.