Discovery
We audit your ecommerce operations end to end. That means reviewing your storefront experience, retention flow, support load, paid media performance, analytics stack, and operational bottlenecks.
- Map current workflows, tools, data sources, and team structure
- Identify the highest impact AI opportunities with clear commercial justification
- Define scope, success metrics, data requirements, and access needs
- Deliver a prioritized roadmap with timelines and expected outcomes
Deliverable: A scoped implementation plan with commercial projections, technical requirements, and a recommended build sequence your team can evaluate before committing resources.
Build
We design, develop, and integrate AI systems into your existing infrastructure. The process is iterative with regular demos so your team can validate direction before launch.
- Connect to your ecommerce platform, CRM, help desk, analytics, and ad accounts
- Build custom models, workflows, and interfaces around your actual data
- Run testing cycles with your team to validate behavior and edge cases
- Deploy to production with monitoring, fallback rules, and escalation paths
Deliverable: A live, production grade system connected to your stack with documentation, training, and a clear handoff process for ongoing management.
Optimize
After launch, we monitor performance, refine models, and expand capabilities based on what the data shows. Monthly strategy reviews keep the roadmap tied to commercial outcomes.
- Track key performance metrics against the baseline established during discovery
- Refine models and workflows based on production data and team feedback
- Identify expansion opportunities as the first system proves its value
- Conduct monthly strategy reviews with leadership to align on priorities
Deliverable: Monthly performance reports, model updates, and a forward looking roadmap that evolves with your business.