Engagement
Track when shoppers approach, engage, wait, abandon, or complete an interaction.
Analytics and continuous learning
Every interaction should make the next one better
Biscuit turns front-of-house conversations into performance data, operational insight, and improvement loops for AI sales and service agents.
What Biscuit measures
Conversation quality
Understand common questions, failed intents, escalation points, and missed answers.
Sales outcomes
Measure product interest, recommendation paths, conversion signals, attach opportunities, and campaign performance.
Service outcomes
Track task completion, support routing, customer satisfaction signals, and operational bottlenecks.
From attention to conversion
Biscuit connects what happens in front of the endpoint to the outcomes retailers care about. That means teams can understand not just what customers asked, but where the experience worked, where it broke, and what should improve next.
- Understand engagement before, during, and after each conversation.
- Connect recommendation behavior to sales and service signals.
- Identify missed opportunities across locations, campaigns, and workflows.
Improvement loop
Biscuit helps teams improve agents over time using real performance data and reviewed workflow updates.
- 1 Measure interactions
- 2 Identify patterns
- 3 Find missed opportunities
- 4 Update agent knowledge or workflows
- 5 Deploy improvements
- 6 Compare performance over time
Improve deployed agents with evidence
Every interaction can reveal where the agent should know more, route differently, or support a better sales and service outcome.