customer_support · logistics · workflow
Lime achieves 77% reduction in time to first response with Forethought AI triage and self-service
Lime's support operations were entirely manual: every agent handled every ticket type with no prioritization or routing, agents toggled between Google Translate and their cases for multilingual tickets, compliance-critical tickets such as accidents and city-official complaints were handled in order received rather than by urgency, and there were no self-service channels. Exponential business growth made these gaps unsustainable.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Support ticket received
Support inquiries are received through email, phone, the Lime app, and a web form.
Tools used
Forethought TriageForethought SolveWorkflow BuilderRobotic Process Automation (RPA)
Outcome
With Forethought, Lime automated 27% of email and web channel cases, predicted over 2.5 million language and category tags with 98% of tickets tagged automatically, and achieved a 77% reduction in time to first response, delivering significant cost savings and improved customer satisfaction.
Results
Time saved77%
Volume27%
Cost replacedsignificant cost savings
Grounding & classification
Source type: vendor customer story
34 fields verified against source quotes.
conversational aidocument classificationknowledge searchsupport agentemailknowledge basesupport ticketmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedlogisticsautomation ratecost reductioncustomer satisfactiondeflection rateresponse time reductionvendor customer storycustomer supportticket triageautonomous resolutionextract classify routeintake to triage