This Social Analytics Startup Uses AI To Optimise Customer Engagement


Customer engagement is the life drive of manufacturers. Mumbai-based Locobuzz permits manufacturers to forge robust relationships with their clients and improve their lifetime worth utilizing synthetic intelligence, machine studying, large knowledge and analytics.

We received in contact with the founders of Locobuzz — Vishal Agarwal (co-founder and CEO), Shubhi Agarwal (co-founder and COO), Nitin Agarwal (co-founder and CTO) — to get insights into their startup story, use of AI and ML of their choices, progress plans and extra. 

Behind Locobuzz

Incorporated in 2015, the group all the time believed within the energy of analytics. The trio began Locobuzz with easy plain analytics on unstructured knowledge, targeted on processing massive volumes of knowledge in real-time and additional augmenting it with sentiment evaluation. Locobuzz is a portmanteau of Location-based buzz.

The startup began connecting with clients throughout a spectrum of digital channels to assist manufacturers improve effectivity throughout enterprise processes and create a seamless expertise for purchasers — all utilizing analytics. 



Locobuzz CX Platform is designed to work on a standalone foundation or as an built-in resolution bringing collectively varied departments and practical verticals like product groups, advertising groups, buyer expertise, CRM and gross sales groups. Explaining how a number of groups can leverage Locubuzz’s perception, founders shared:

  • The advertising groups can derive inputs that assist design campaigns, monitor model chatter, determine influencers and benchmark with the rivals. 
  • The buyer expertise groups can interact with clients, resolve queries, determine patterns, and streamline processes to enhance buyer satisfaction scores. 
  • The gross sales groups can scope out leads and different engagement alternatives. 

AI At Locobuzz

With over 50 members within the tech group consisting of engineers, knowledge scientists, and product builders, Locobuzz’s AI engine can present wealthy enterprise and buyer insights on a seamless unified platform. The platform can perceive 30+ world languages, course of knowledge and interact in real-time. 

From streamlining buyer expertise to forging long-lasting relationships, Locobuzz has catered to hospitality, telecom, automotive, BFSI, aviation and so forth. 

AI and ML have been leveraged for: 

Campaign Analytics and Product Analytics: Locobuzz was in a position to assist an vehicle model monitor the launch of a brand new automobile by AI, sentiment analytics and real-time analytics. The automobile initially focused males of a sure age-group. When the automobile launched, Locobuzz gathered knowledge insights proving — opposite to the idea — girls have proven extra curiosity within the automobile and have been producing most engagement for the model. The model then redesigned and relaunched its marketing campaign with woman-oriented messaging and have become successful.

Chatbots used for (IoT) Smart Home Management: Locobuzz expertise platform might be built-in with all fashionable messaging apps like WhatsApp, Facebook and Twitter Messenger, Telegram, Website and extra. In this case, Locobuzz converse (chatbot platform) labored with a preferred messaging app in Japan – LINE Messenger and the aim of the bot was to work together with the sensible dwelling. By controlling the IoT hub by LINE, we are able to handle each facet of the sensible dwelling – temperature, temper/common lighting, locking and unlocking of doorways (and different features of customer administration), and so forth. The consumer can management the sensible dwelling, ship for help to a dwell agent if required by the bot, and so forth.

AI For Customer Behaviour

The founders of Locobuzz imagine empathy is the precise key to success. The technique to quantify this success is to channel engagement efforts in a well timed and sincere method to relay to the shopper that measures have been taken to know their issues. 

AI and ML are specifically educated to know the small print of those microscopic wants that usually get misplaced in unilateral measures of sentiment-score upliftment. They might be sensible by prioritising complaints and queries primarily based on feelings, engagement sample, affect, and so forth. 

The concept is to verify your buyer is genuinely completely happy. This is why we focus most of our efforts on continually constructing each tiny facet of actionable intelligence, the founders mentioned.

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Keeping Data Secure

For enterprises, knowledge safety and knowledge isolation are a few of the largest challenges when coping with third-party platforms. Locobuzz follows a multi-tenant structure maintaining every consumer’s knowledge separate. 

Founders mentioned Locobuzz undergoes a vulnerability evaluation and penetration assessments each six months by a number one third-party safety agency in India to bolster the safety facet and proactively plug any vulnerabilities if discovered. 

Locobuzz has constructed a scalable structure that routinely scales to cater to larger knowledge quantity and self corrects itself in case of anomaly. “We process millions of data points in near real-time every day and enrich them via different micro-services. The enrichment micro-services are plug-and-play services that can be hot pulled or pushed into the system without hampering the working of the system,” the founders mentioned. 

Growth Story 

Locobuzz has been in a position to carry in regards to the progress of manufacturers throughout verticals. With the usage of machine studying and NLP, they’ve constructed knowledge fashions for language detection, intent detection, deviation alerts, feelings, and so forth. “We also have now created a fully cognitive chatbot platform,” added the founders. 

Locobuzz has advanced into a totally built-in, unified buyer expertise platform in a brief interval. So far, it’s working with greater than 100 reputed shoppers throughout geographies.

Future Plans 

Locobuzz recognises the position of machine studying and is investing closely in it. The founders imagine 2021 is the yr of automation. They want to put money into pure language processing to supply actionable client insights, subject evaluation, and client behaviour evaluation. The startup can also be trying to discover enterprise alternatives exterior India in geographies such because the US and UK. 


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