Scenario Agents' First Report Card: Data & R&D Prove ROI, Service & Sales Stuck on Measurement
The article evaluates first-year results of scenario-specific AI agents across data, R&D, customer service, and sales, showing data and R&D agents achieve measurable ROI (Trip.com 90% automation, Taotian $2 design-to-code) while service and sales agents struggle with quantification despite real impact, underscoring the need for robust measurement frameworks.
Four categories of scenario-specific AI agents — customer service, sales, R&D, and data — have delivered auditable results this year, but their maturity and measurability differ significantly.
Data and R&D: ROI Is Calculable
Data-side agents show the hardest evidence. Trip.com replaced 90% of manual data retrieval with agents. Dewu (得物) compressed data-ticket turnaround from 2–3 days to seconds, improved weekly-report efficiency by 80%, and pushed self-service query adoption above 80%.
R&D-side agents demonstrate the broadest adoption. Fenxiangxiaoke (纷享销客) transitioned from relying on "super individuals" to enabling "super teams." Taotian (淘天) reduced design-to-code conversion cost to under $2 per instance.
Customer Service and Sales: Stuck on Measurement
Customer-service agents face a three-way trade-off among effectiveness, performance, and efficiency. In 2C scenarios, Tencent abandoned Agentic AI entirely and switched to a three-line optimization approach.
Sales-side agents (search, advertising, recommendation) optimize rapidly, but measurement must keep pace. Tencent applied multi-agent systems to the measurement framework itself rather than to the placement logic.
Key Judgment: The Measurement Divide
Data agents led unsurprisingly because data scenarios have clear correctness standards and existing baselines, making ROI straightforward to calculate. Customer service and sales are not lacking effect; they lack a way to articulate it. The next watershed will be whether robust measurement systems can be built.
Golden quote: "Data agent ROI is calculated; customer service agent ROI is argued about — the difference lies in the measurement system."
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