According to Association for Talent Development's State of Industry report, training fresh employees demands extensive amounts of multiple resources, with an average of 33.5 hours spent on every new recruit along with an average cost of $1,252. Most of the times, it is simply not feasible to invest the aforementioned resources on the product line of a company that is only going to pay $400/month. Given the overburdening cost of something as necessary as formal training to acquaint employees to a client's products and policies, it is virtually impossible for an outsourcing provider to offer quality service to small businesses.
HelpLama, a B2B customer support outsourcing startup, has tackled this problem by implanting Artificial Intelligence within their chatbots. After learning extensively through customers' previous customer support threads, the bot can be used to train new recruits through relatively cheaper means, all the while retaining similar efficiency. After running several tests against the bot, the domain experts are marked on various criteria and the list is presented to the client, giving them the luxury of choice in noticeably short span of time. Companies have already reported cost savings of upto $200M by shifting to automated training programs and by utilising A.I, one can cut down on the costs on a similar scale without sacrificing on the efficiency that human efforts brings in. Implementing these technological trends into the traditional training program would not only allow startups to afford considerably decent customer support but it'll also enable them to do so significantly quicker.
HelpLama's simple yet modernised take on the traditional outsourcing training has helped them to decrease their usual training costs by 76% and to cut down on their average training period by 37%, all of this while retaining the same efficiency that comprehensive training programs bring.
Training and hiring experts through modern technology trends is bound to have a certain positive impact on the entire customer support industry as a whole. This simple action would not only affect small businesses but also market behemoths to cut down on the cost and time on a larger scale.
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