Industry
Retail and E-commerce
AI infrastructure for personalization, search, and customer support at scale.
Overview
Retail AI must balance personalization, uptime, and cost control.
We build model-flow systems that power recommendations, support agents, and demand forecasting with measurable quality and reliable operations.
Why MuFaw
Operator-grade delivery for complex systems
Latency and cost focus
We optimize pipelines so personalization stays fast and cost-efficient.
Reliable experimentation
Evaluation harnesses and A/B gates keep changes safe in production.
End-to-end coverage
We cover data, orchestration, and deployment for commerce stacks.
What we build
Areas of expertise
Personalization pipelines
Rankers and recommenders with guardrails.
- Feature stores
- Evaluation gates
- Bias checks
Search and catalog RAG
Product QA with governed retrieval.
- Index pipelines
- Attribute validation
- Safe prompts
Support automation
Agentic workflows with escalation paths.
- Policy routing
- Human handoff
- Quality metrics
Demand forecasting
Forecasting with measurable accuracy.
- Drift monitoring
- Scenario testing
- Alerting
Operational telemetry
Track revenue impact and model health.
- Cost tracing
- Latency alerts
- Conversion signals
Secure integrations
Connect to commerce, ERP, and support stacks.
- RBAC
- Audit logs
- Data boundaries
Testimonials
What teams say about MuFaw
Real feedback from teams who want dependable AI systems in production.
“MuFaw made our model-flow observable and easier to operate in production.”
Lena Iqbal
CTO, industrial automation
“The embedded pod delivered guardrails and runbooks we could keep using.”
Derrick Coleman
Head of Data Platform, fintech
“They balanced research rigor with production reality and clear ownership.”
Mina Rao
Director of AI Research, healthcare
Ready to build something dependable?
Tell us what you're building - we'll respond with a plan.