The startup has developed an artificial intelligence platform that automates the collection of social media and email customer inquiries, converting them into actionable tickets for support teams. This technology reduces the time taken to resolve customer issues and lowers operational costs associated with customer care management.
Funding
$820K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Customer support teams often struggle with the high volume of inquiries arriving through various channels like social media and email, leading to delayed response times and increased operational costs. Manually processing these inquiries to create actionable tickets is time-consuming and inefficient.
Solution
Stip AI offers an AI-powered platform that automates the collection and processing of customer inquiries from multiple channels, converting them into actionable tickets for support teams. The platform integrates with existing CRM systems and leverages over 15 AI models to categorize tickets, identify customers, suggest responses, and extract relevant information. By automating these processes, Stip AI reduces ticket handling times, improves agent productivity, and lowers customer service costs. The platform also offers features like content moderation, automatic data requests, and intelligent ticket routing to ensure efficient and personalized customer support.
Target Audience
Stip AI primarily targets customer support teams and businesses seeking to enhance operational efficiency, reduce costs, and improve customer experience across various industries, including retail, automotive, telecommunications, and finance.
Features
- AI-powered ticket categorization using a model customized to the company's needs
- Automatic customer identification by searching for unique data in the text or attachments of requests
- Generative answer suggestions based on analysis of tickets, company documents, and similar cases
- Automatic data extraction from company documents, product sheets, and internal procedures
- Content moderation to analyze and recognize the type of incoming content
- Automatic ticket creation and routing to the appropriate team or agent
- Prioritization of tickets based on company guidelines and emotion analysis
- Automatic translation of incoming tickets from Latin languages
- OCR (Optical Character Recognition) system for automatic reading of vehicle data from images
- Mobile app for decentralized ticket management