Product knowledge
Connect product details, recommendations, promotions, policies, and store-specific context.
Agent builder
Build retail AI agents that actually do the job
Biscuit helps teams create AI sales and service agents with the knowledge, tone, goals, and workflows required to operate in physical retail environments.
What teams can configure
Brand voice
Control how the agent speaks, escalates, explains, and represents the retailer.
Sales goals
Guide the agent toward outcomes like conversion, attach rate, discovery, or lead capture.
Service workflows
Route common questions, support issues, service flows, and handoffs.
Retail changes daily. Your agents should too.
Promotions change, inventory changes, policies change, and campaigns change. Biscuit is designed so teams can update agent behavior and push changes across deployed nodes without rebuilding the whole experience.
- Text-based configuration
- Reusable workflow blocks
- Location-specific instructions
- Real-time fleet updates
- Versioned improvements
- Brand and policy guardrails
Example workflows
Biscuit agents can be configured for sales, service, support, and operational flows across physical retail endpoints.
Guided selling
Help a shopper compare products, understand tradeoffs, and choose the right item.
Promotion explanation
Explain offers, bundles, and seasonal campaigns in natural language.
Customer service routing
Answer repetitive questions and escalate when human help is needed.
Lead capture
Collect intent, contact details, preferences, or follow-up requests in a controlled workflow.
Launch AI staff without a long development cycle
Teams can adjust retail knowledge, workflow goals, and brand rules, then deploy improvements across active nodes as the business changes.