Solutions / Use case
Every system knows something about the customer. None of them agree. Tray.ai makes them one record.
The problem isn’t the CDP or the data warehouse. It’s that customer data is scattered across systems that weren’t designed to share it. Tray.ai builds the unified record where the business already works — fed by real-time workflows from every system that knows something about the customer. Zuora dropped customer brief creation from 23 hours to 5 minutes on this pattern.
CRM, billing, product, support — every system feeds the same record, in real time. No batch jobs, no stale snapshots.
Workflows trigger on events — payment processed, ticket closed, feature used — so the record reflects now, not midnight.
Same customer, different IDs everywhere. Tray resolves and de-dupes across Salesforce, Stripe, HubSpot, and your data warehouse.
Zuora's teams get a full account brief — CRM, support, usage synthesized — in 5 minutes instead of 23 hours.
23 hrs → 5 min customer brief creation at Zuora
“If an employee has to go to each SaaS application and interact with their AI agent, it is going to be a fragmented and disjointed experience. Imagine going to a single concierge desk and getting all your needs addressed.”
Customer stories tagged to this use case.
Finance
A fintech content-marketing platform was burning customer success resources on free-tier users because Stripe billing data and Salesforce cu…
Read the story →Customer success
A fast-growing European budget airline was sending duplicate notifications and post-flight surveys to customers who'd cancelled or missed th…
Read the story →IT / Business Tech
A fast-growing eCommerce agency was assembling client reporting dashboards by hand from Amazon, Shopify, and WordPress data — two team membe…
Read the story →A CDP is one possible destination. Many teams build their unified record into Salesforce or Snowflake instead, depending on where the rest of the business already works. Tray feeds whichever system is the right home — it's the integration and identity-resolution layer beneath, not a competing destination.
As real-time as your trigger sources. Webhooks fire in seconds; scheduled syncs can run as fast as you need. Travel Leader's case study cites a flight-cancellation lookup that dropped from 90 minutes (manual reconciliation) to 15 seconds (event-driven workflow).
Tray handles anonymous identity resolution too — stitching pre-signup events to a known account once the email matches. The unified record gets backfilled, not just forward-filled.
No — it feeds it. Snowflake, BigQuery, Databricks, Redshift are first-class destinations. The unified record arrives clean, deduped, and current, so the analytics stack stops doing data-cleaning as the first step of every query.
Walk through the scenario with a Tray.ai expert.
