Define data sources, KPIs and alert thresholds in a one-hour session.
Ingest a sample feed, configure custom entities and validate sentiment accuracy against known cases.
Orchestrate streaming ingestion with Kinesis and Lambda, push insights to QuickSight and alert channels.
Add new platforms, refine models and surface predictive churn or purchase propensity scores.
VP Customer Experience, QuickCart
95 percent average sentiment classification accuracy
3× faster issue resolution compared with manual monitoring
Support call transcripts hinted at rising frustration, but the bank lacked a systematic way to quantify or act on it.
Avahi built a Comprehend pipeline that scores every call and social mention, then triggers personalised retention offers when sentiment drops below threshold.
Early churn signals identified 30 days sooner
Customer churn decreased 18 percent in six months
Net Promoter Score improved by ten points
We integrate social networks, review sites, call recordings, chat logs, surveys and any custom data source via API.
Yes. We train Comprehend custom classifiers and entity recognisers on your domain language.
You pay for characters analysed and compute consumed. Most SMBs spend less than traditional social-listening tools while gaining deeper insight.
