As Speedmaster grew into a global automotive-performance brand, its customer conversations outgrew the tools holding them. Support ran on Zendesk — a system entirely separate from NetSuite, where the business actually operates. Every call, chat, and email sat in its own silo, disconnected from the customer record.
That distance had a cost. Agents re-keyed notes by hand and pieced together history from multiple screens before every conversation. Outcomes slipped between systems. And because interactions were never captured as structured data, leaders had no unified view of what customers were experiencing across regions and time zones.
For a company building toward AI, the gap was strategic as much as operational: the conversations themselves — the richest signal about its customers — were the one thing Speedmaster couldn't search, report on, or act on.
- Disconnected calls, chats & emails
- Limited cross-region visibility
- Manual documentation & re-keyed notes
- Fragmented customer context
- No AI-ready interaction data