Definition
Agentic VoC describes a voice-of-customer practice organized around software agents that do the reading, tagging, routing, and recommending that analysts used to do by hand. Each agent has a narrow job. The Theme Agent clusters emerging issues. The Anomaly Agent watches review velocity and sentiment for statistically significant shifts by SKU. The SKU Agent maintains a per-product scorecard across every channel the product sells on. The Search Agent (indelliaGPT™) answers natural-language questions against the full corpus. The Defect Agent (Beta) correlates field reports with serial, batch, and ship-date metadata. The Response Agent (Beta) drafts replies back to the channel of origin.
The term is Indellia's category coinage. It is meant to name a difference in kind, not a marketing adjective. Dashboards display; workflows route; agents act. A page of charts and a Slack notifier do not constitute agentic VoC — the test is whether the system would produce something useful with no human watching it.
Why it matters
Most feedback platforms are passive — they ingest, score, and chart. A human still reads the chart, forms a hypothesis, files a ticket, and drafts the response. For a consumer brand with thousands of active SKUs spread across Amazon, Walmart, Best Buy, Costco, Lowe's, Target, and Bazaarvoice-syndicated retailers, that human is the bottleneck. Themes surface late. Defects surface later. Responses do not go out at all.
Agentic VoC moves the reading, sorting, and first-draft decision work to software that runs continuously. People stay in the loop for the judgment calls — approving a defect escalation, editing a response, deciding whether to pull a SKU. They stop doing the triage. The consequence is that the program scales with catalog size rather than with headcount, and signals surface in hours instead of weeks.
Example
A sporting-goods brand ships a new bike helmet across Amazon, Target, and Dick's. Three weeks in, the Anomaly Agent flags that one specific ASIN has a sentiment drop on the theme "chin strap buckle" versus the prior two weeks. The Theme Agent shows the cluster is 34 reviews, all referencing a plastic cam lock. The SKU Agent links the ASIN to the matching Target TCIN and the internal Model#. The Defect Agent (Beta) cross-references the plant-of-origin field and surfaces that 89% of the affected reviews match one production batch.
A QA lead reads the output in 12 minutes, confirms, and opens a factory ticket. No one built a dashboard. No one ran a weekly report. The agents did the reading; the human made the call. The same pattern repeats across the rest of the catalog the next morning — on a different SKU, a different theme, and a different retailer — without anyone being assigned to watch it.