#LIMECHAT CUSTOMER SERVICE MANUAL#

In the last 6 months, the startup has claimed 3x growth and has expanded its customer base to over 125 brands in India and across the globe. The startup also claims that over 1 million conversations are automated for 150+ leading brands. Pairing this with the opportunity that WhatsApp poses for brands to leverage as a commercial channel can create exceptional customer experiences,” said Alok Goyal, Partner, Stellaris Venture Partners. “D2C as a category has witnessed explosive growth in the last few years. The platform allows brands to increase campaign conversions by up to 3x, reduce support workload by up to 70%, and improve customer satisfaction. As we continue to build a category-defining SaaS (software-as-a-service) company for global e-commerce brands, with Stellaris’ track record in building global SaaS leaders and defining growth stories of leading D2C brands,” said, Nikhil Gupta, Co-Founder of LimeChat. “Our growing client base stands testimony to the impact we have been able to generate for businesses.

The Bengaluru-based startup was founded in 2020 by Aniket Bajpai and Nikhil Gupta, It harnesses the power of human-scale AI chatbots to create the most compelling user experiences to deliver impact for D2C brands and consumers alike. The startup plans to use the funds to strengthen its product and expand its operations in the market. LimeChat’s labeling workflow now takes a total of 2.3s per utterance a workflow that used to take them 19.4s to complete prior to using HumanFirst.Wavicle Technologies Pvt Ltd, which owns and operates LimeChat, an AI based chatbot startup has raised $4.2 million in seed funding round from existing investor Stellaris Venture Partners with participation from Pi Ventures, Titan Capital and marquee angel investors. HumanFirst helped LimeChat speed up its conversation-driven development by 8.5x. HumanFirst allowed LimeChat to collaborate on this activity by inviting team members to the platform. This allows LimeChat to discover new intents and improve existing ones. HumanFirst’s CLI allows LimeChat to sync utterance data from Rasa to HumanFirst. LimeChat’s catalogs are now improved over time using HumanFirst’s active-learning workflows and raw data generated from their deployed bots. This helps LimeChat speed up development of new Rasa projects. These catalogs are re-used accross their projects. LimeChat developed three types of catalogs core, industry-specific and company-specific. Using their improved and centralized NLU, LimeChat developed catalogs of intents.

HumanFirst allows them to merge ambiguous intents and split intents to more granular ones.

This allowed them to improve their projects’ NLU at scale. LimeChat centralized their existing NLU projects’ data using HumanFirst. To learn more on conversation-driven development see Rasa’s description here. Since implementing HumanFirst in their workflow, LimeChat accelerated its conversation-driven development by 8.5x. It wanted an active learning data-labeling solution that allowed collaboration and conversation-driven development.

#LIMECHAT CUSTOMER SERVICE MANUAL#

LimeChat also wanted to move away from manual data-labeling workflows. This would help LimeChat speed up the development of projects over time.

This centralization would allow the development of re-usable catalogs of intent classifiers. LimeChat needed a solution to centralize their projects’ NLU data. Additionally, LimeChat developed and improved the NLU of Rasa projects using manual techniques. Overviewīefore using HumanFirst, LimeChat managed their NLU data using spreadsheets. How LimeChat accelerated its conversation-driven development by 8.5x using HumanFirst and Rasa.

Limechat customer service