Customer Care

Chat-based customer care across Web, App & Messaging using a hybrid AI and live agent system.

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Customer care requests are routine, repetitive queries

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Daily time spent by 1 Billion+ people on messaging apps

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Faster resolution of requests on chat vs other mediums

Never Leave a Customer Waiting Again with Industry-driven, Enterprise Smart Skills.

Smart skills are packed with all the pre-requisites ranging from advanced NLU, training data, and domain-specific models so that your team never has to start from scratch again.

Highly Scalable, Modular Blueprints for your Industry

Trusted and used by Fortune 500 companies, Smart Skills are purpose-built to help you automate complex, contextual business use cases.

Here are business results achieved by some of our customers using Haptik's curated Smart Skills: 

  • Saved 3M+ in annual revenue savings for the world’s 3rd largest telco

  • Resolved 70% user queries end-to-end for a Global Insurance provider

  • Increased customer engagement by 500% for a leading Insurance company

  • Deliver flexibility to build chat flows from the ground up in-house without any dependency on Haptik.

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Reduction in cost per query for the world’s 3rd largest hotel chain

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Increase in CSAT for a leading digital media platform

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Savings across support operations for a fantasy sports website

Smart Agent Routing for Complex Queries

On average, Haptik’s AI is equipped to resolve 80% of customer queries, and automatically routes complex issues to your support agents based on their skill sets and current workload.

100+ UI Elements along with Custom Configurations

Our chat SDKs are powered with built-in UI capabilities including image carousels, video thumbnails, quick reply buttons, contextual bot prompts, store locators, and more, making it as easy as possible for you to communicate with your customers.

Highest NLU Accuracy

Haptik’s NLU (natural language understanding) continues to set new industry standards for accuracy and has achieved the Highest global benchmark (EMNLP 2019 dataset) for identifying out of scope queries. Our model is able to comprehend human emotions, make small talk, identify profanity, and detect gibberish--all of which facilitate richer customer insights while ensuring a top-notch user experience.

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