Tekst.ai

Use Case 1: Shared Inbox Management

Problem: Enterprise teams are often overwhelmed by a high volume of unstructured emails in shared inboxes, leading to missed opportunities and slow response times.
Solution: Tekst.ai implements an intelligent automation layer that interprets the context and intent of every message, automatically labeling and routing them to the correct department.
Example: A customer service department at a large retail firm uses Tekst to sort thousands of daily emails into categories like 'Refunds' or 'Logistics' with 90% accuracy.

Use Case 2: Automated Order Intake and Processing

Problem: Manually entering order data from emails or attachments into ERP systems like SAP is time-consuming and highly susceptible to human error.
Solution: The platform uses Intelligent Document Processing to extract relevant data from orders and syncs it directly with existing enterprise software without manual intervention.
Example: A manufacturing company automates its quote-to-cash workflow by allowing Tekst to extract product quantities from PDF orders and create records in their CRM.

Use Case 3: Case Enrichment and Prioritization

Problem: Support agents often lack the necessary context to handle complex incidents quickly, resulting in long resolution times.
Solution: Tekst classifies incoming tickets and enriches them with contextual insights and background information before they even reach a human agent.
Example: A MedTech firm uses Tekst to automatically identify and prioritize high-urgency product incident reports, attaching customer history to the case for immediate action.