Digital Agent Solution
Our Sales, Service and After-market Solutions are designed to augment customer experiences with the aid of virtual assistants, voice call analysis mechanisms, round the clock digital agents and analysis of social media comments by customers to address every issue intricately and precisely.
Our Natural Language Processing based conversation BOTs are designed to augment customer experience in Pre Sales, Sales, Service and Post Service Operations. The virtual assistants can assist in helping customers identify their product of choice as well as suggest various offers. It can help customers to transact a sales operation or do a service booking as well as collect the feedback from the customers for post sales or service transactions. It can also help to clarify the queries of the customer. The virtual assistant can reach the customers though WhatsApp, Telegram, Web-Bots or any other channel as per their requirement.
There are lakhs of calls which gets recorded in the contact centre of any organisation, which connects their customers. However, it is not humanly possible to listen to every call and understand every customer sentiment. Our AI based engine listens to all such calls and helps to segregate the calls of the customers into different categories of sentiments. The respective business owner can selectively reach out to the customers to address their issues or concerns. The AI engine also helps to detect if any of the call centre agents are required to be re-trained with soft skills based on their performance. This helps to enhance the customer experience.
TMLBSL is providing digital agent services to make outbound or in bound calling to customers. This can help to bring a cost effective solution by replacing human agents with digital agents which can operate round the clock, even receiving calls during wee business hours. Such cost effective solutions can also be used to reach out to lost cases which can help in sales conversions.
TMLBSL has a NLP based solution to analyse the comments made by customers in various social media channels to understand the overall sentiment of the market. Such analysis can help to take corrective actions, to improve the net promoter score. (NPS).
