Monolithic models failed on complex tickets. Now, specialized agents split tasks to autonomously refund orders and update shipping.
An e-commerce support provider automates complex customer service workflows by integrating directly with helpdesk platforms like Zendesk, Front, and Gorgias.
While basic inquiries were straightforward, a monolithic language model approach failed to reliably resolve complex Tier 2 and Tier 3 issues. Single...
AI-powered customer support automation platform for e-commerce brands.
Framework and developer platform for building LLM-powered applications.
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Legacy tools failed on nuanced emails. Now, a network of agents reasons through complex requests, automating 71% of support.
Escalations slowed support for 85M users. Specialized agents now route refunds and payments, clearing the queue for human experts.
Standard models distorted large datasets. Agents now analyze 150k tokens with precision, cutting 5-hour reviews to 10 minutes.
Manual fixes slowed order processing to 2.5 hours. AI code optimization cut that to 30 minutes and reduced incidents by 50%.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.