customer_support · logistics · workflow

Freshly achieves 50% conversation containment and 48% cost reduction with Conversocial automation

A Covid-driven spike in customer messaging volume starting March 2020 threatened to overstretch Freshly's agents and risked losing valuable new customers, requiring a scalable solution for high-volume recurring inquiries.

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 · Messaging volume spike triggers need
Soaring messaging volume in 2020, driven by social ad campaigns and the global pandemic, triggers the need for an automated solution.
Tools used
ConversocialNLU
Outcome

Freshly achieved 50% conversation containment in-channel with no human intervention, cut average first response time by 80% from 30 minutes to just six minutes, and reduced cost-per-contact by 48% by shifting customers to Facebook Messenger.

Results
Time saved80%
Volume50%
Cost replaced$0.84
Running since2020
Source

https://www.verint.com/case-studies/freshly/

How we source this →

Grounding & classification
Source type: vendor customer story
29 fields verified against source quotes, 5 dropped as unverifiable.
chatbotconversational aipersonalizationchat transcripthuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedecommerceautomation ratecost reductiondeflection rateemployee productivityresponse time reductionvendor customer storycall center aicustomer supportautonomous resolutionescalation workflow