How OpenTable resolved restaurant and diner questions with Agentforce
OpenTable launched Agentforce agents on its website for restaurants and diners, grounded in its existing knowledge articles. Salesforce reports that most restaurant cases were resolved within weeks of launch.
The problem
Simple questions about reservations, reward points and account updates came in at high volume. The FAQ chatbot couldn't handle nuanced or multi-part questions, and knowledge-base searches returned too many results. Reps switched between several disconnected systems.
How they did it
- Grounded the agent in 1,500 Service Cloud knowledge articles, using Data 360 for context.
- Launched a restaurant-facing agent first (about three weeks to launch), then a diner-facing agent.
- Set the agent to hand complex cases to human reps along with the full conversation.
Results
- Salesforce reports 73% case resolution within 3 weeks of launch for the restaurant agent.
- The two agents handle about 11k conversations a week.
- The source reports a 40% improvement over the previous chatbot.
As reported by the source (Salesforce customer story); AgentGid did not measure these figures.
Best suited to a team already on Service Cloud with a maintained knowledge base, since the setup relied on 1,500 articles and Data 360. Watch the cost: at 11k conversations a week, per-conversation ($2) or per-action ($0.10) pricing adds up, and the 73% and 40% figures are Salesforce-reported. Rasa (Free) is a cheaper open-source option if you have developers, though its free tier covers only 1,000 external conversations a month.
The agent used here
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