← All Case StudiesE-COMMERCE

Online Sellers

AI employees are helping e-commerce businesses handle customer service spikes, manage inventory at scale, and dramatically cut operational costs.

213%ROI with $230K in cost savings
CASE STUDIES

Verified results from real deployments.

Each case study below is based on published research and verified outcomes — no projections or unverified claims.

CASE STUDY 1

AI Customer Service for a Global Publisher

The Problem

A global publishing and e-commerce company couldn't handle peak-season service spikes. Their prior chatbot failed at autonomous resolution, and seasonal agent onboarding was too slow.

The Outcome

An AI employee achieved 40%+ increase in self-service case resolution, 213% ROI, and $230,000 in cost savings. Seasonal agents onboarded 50% faster, and service reps spent 20% less time on routine cases — freeing about 4 hours per week each.

Time to ResultFirst few weeks post-deployment
ScaleEnterprise-wide, thousands of global customers
CASE STUDY 2

AI Inventory Management Across 4,700 Stores

The Problem

A major retailer struggled with out-of-stock events and rising inventory costs across thousands of locations.

The Outcome

An AI employee reduced out-of-stock events by 30%, cut annual inventory costs by $1.5 billion, and maintained a 99.2% in-stock rate across 4,700 stores.

Time to Result6-month pilot
Scale4,700 retail stores
GET STARTED

Your business is ready. Your AI employee is waiting.

10-hour setup. 7 day money back guarantee. First 5 clients get 50% off.