Retail enablement kit
Deploy anywhere
Run AI staff on kiosks, self-checkout, robots, counters, pop-ups, and retrofit retail endpoints.
Retail AI for the physical world
The full stack behind a 24/7 AI sales and service rep
Biscuit turns kiosks, self-checkout, robots, counters, and retrofit endpoints into intelligent AI staff that can sell, serve, answer questions, execute workflows, and improve over time.
Built for real stores: noisy environments, impatient shoppers, distributed fleets, and measurable business goals.
Full-stack retail AI built for real-world execution
Retail AI needs more than a chatbot, a touchscreen, or a model API. Biscuit provides the perception, agent intelligence, deployment infrastructure, analytics, and improvement loops required to run AI staff in physical environments.
Edge perception models
Understand real shoppers
Use multi-modal edge inferencing to understand presence, attention, speech, and engagement in noisy stores.
Agent builder
Launch sales and service workflows
Build, update, and deploy AI agents that answer questions, recommend products, route service, and execute retail workflows.
Analytics engine
Measure and improve outcomes
Track performance against sales and service goals, then improve agents over time using real interaction data.
Not a kiosk. AI staff that sells and serves.
Most in-store AI stops at a touchscreen, chatbot, or branded demo. Biscuit is built to operate like a real sales or service rep: understanding the shopper, responding quickly, taking action, and helping the business hit measurable goals.
Sales agents
Guide shoppers, answer product questions, recommend items, explain promotions, and help customers make confident purchase decisions.
Customer service reps
Handle repetitive front-of-house service tasks, support multilingual conversations, and reduce pressure on store teams.
Workflow execution
Connect conversations to real business actions, including product guidance, service routing, lead capture, support workflows, and retail operations.
Goal-driven intelligence
Optimize for outcomes retailers care about: conversion, attach rate, service completion, customer satisfaction, labor leverage, and revenue.
Multi-modal edge inferencing
Multi-modal edge inferencing for real stores
The hardest part of physical AI is understanding what is happening in front of it.
Retail environments are noisy, messy, and unpredictable. Biscuit is built to understand shoppers on the edge, where the interaction is happening, so agents can respond naturally without forcing customers to press a button, repeat themselves, or adapt to a fragile interface.
Patent-pending edge perception technology Biscuit's patent-pending edge perception technology reasons about shoppers up to 100 times per second, helping the agent understand presence, attention, engagement, and interaction state in real time.
Continuous shopper understanding
Detects and reasons about shopper presence, attention, and engagement state.
No button-press friction
Lets customers approach and engage naturally without learning a new interface.
Built for noisy environments
Filters messy real-world inputs from speech, motion, lighting, and background activity.
Cleaner context for better agents
Sends stronger signals into the AI agent so conversations are faster, more relevant, and less brittle.
Agent builder
Create and deploy retail AI workflows in minutes
Biscuit gives teams a fast way to build, update, and launch AI sales and service agents across a deployed fleet.
Retail changes constantly: promotions, inventory, campaigns, store policies, service flows, and customer needs. Biscuit lets teams update agent behavior, product knowledge, and workflows without rebuilding the entire experience.
Text-based AI builder
Create and adjust retail AI experiences using plain-language instructions, business rules, product context, and workflow goals.
Retail workflow execution
Support product guidance, recommendations, service routing, lead capture, support flows, and location-specific instructions.
Real-time fleet updates
Push changes into deployed nodes across stores, events, or regions as the business changes.
Brand and policy control
Keep agent behavior aligned with the retailer's voice, escalation rules, compliance requirements, and operational constraints.
Analytics and continuous learning
Measure performance. Improve forever.
Biscuit does not stop at deployment. It measures how AI staff perform and improves them over time.
Every interaction creates signals about what shoppers need, where they get stuck, which recommendations work, and which workflows create value. Biscuit turns those signals into analytics, optimization, and improvement loops across the fleet.
Sales and service analytics
Track conversations, engagement, conversion paths, support outcomes, and missed opportunities.
Outcome optimization
Improve agent behavior based on goals like conversion, attach rate, service completion, satisfaction, and revenue.
Continuous learning loops
Use real interaction data to refine knowledge, recommendations, scripts, and workflows over time.
Fleet-level insight
Compare performance across locations, endpoints, campaigns, and workflows to identify what is working.
See the systems behind the agent
It is easy to say AI staff. It is much harder to make AI staff work in real stores. Biscuit proves it through edge perception, agent-building infrastructure, fleet deployment, and analytics that improve over time.
Multi-modal edge inferencing
Show the agent what is happening in front of it: shopper presence, attention, engagement, speech, and interaction state.
- Runs at the edge
- Built for noisy stores
- No button press required
- Real-time shopper context
Agent builder
Create sales and service agents with business goals, brand rules, product knowledge, and workflow logic.
- Text-based configuration
- Retail workflow control
- Fleet deployment
- Live updates
Analytics and continuous learning
Measure how agents perform, identify missed opportunities, and improve deployed experiences over time.
- Conversation analytics
- Attention-to-conversion
- Outcome optimization
- Improvement loops
Others solve pieces. Biscuit solves the full stack.
Retailers should not have to stitch together hardware vendors, chatbot tools, analytics dashboards, and systems integrators just to deploy one useful AI staff member.
| Capability | Biscuit | AI chatbots | Kiosk vendors | POS / retail software | In-house builds |
|---|---|---|---|---|---|
| Deploys on physical endpoints | Yes | No | Yes | Limited | Limited |
| Understands shoppers in-store | Yes | No | No | No | Custom |
| Executes sales and service workflows | Yes | Limited | No | Limited | Custom |
| Launches fast | Yes | Yes | No | No | No |
| Measures and improves outcomes | Yes | No | No | Limited | Custom |
| Built for distributed retail fleets | Yes | No | Limited | No | Custom |
| Connects hardware, AI, analytics, and optimization | Yes | No | No | No | Custom |
With Biscuit, retailers get one system for deploying, operating, measuring, and improving AI staff across the physical store.
Backed by Google Cloud & NVIDIA
“Biscuit’s use of Google Cloud shows how scalable cloud infrastructure can support real-world edge AI — from asynchronous data pipelines and analytics to continuous learning across distributed deployments.”
“Biscuit’s use of NVIDIA-powered edge compute highlights the next generation of intelligent devices — compact, responsive systems capable of delivering advanced AI experiences wherever customers are.”
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Compliance built in
SOC2-ready operational controls
Operational controls protect customer systems with encrypted data handling, access logging, and managed vendor review.
CCPA privacy workflows
Consumer data rights are supported with clear access, deletion, and opt-out workflows for privacy requests.
GDPR-aligned data handling
Data is encrypted in transit and at rest, with regional handling designed to keep personal data within approved boundaries.
Ready to deploy AI staff in the real world?
See how Biscuit can help you launch AI sales and service reps across physical retail endpoints, measure performance, and improve outcomes over time.