Automation can compound when it improves the system
A reliable automation can save repeated manual effort, improve data consistency and create better evidence for future decisions. Those effects can compound as volume grows.
Where compounding value comes from
- Data quality: consistent events and tags improve analysis.
- Operational capacity: stable repetitive work no longer scales linearly with order volume.
- Customer experience: reliable workflows reduce missed steps and inconsistency.
- Learning: validated outcomes provide evidence for the next improvement.
More workflows are not automatically better
The previous Codified Commerce model promoted a fixed 219-workflow stack and predefined automation counts. That framing is retired. Unnecessary workflows create maintenance, conflicts and false confidence.
CAT and Moving Target
CAT controls each implementation through Define → Decompose → Orchestrate → Execute → Validate → Learn. After completion, Moving Target can observe relevant signals and propose the next controlled improvement when evidence supports it.
Current CAT AI purchase path
One CAT AI Automation starts at ₹10,000 for Boost; higher speeds are available, and the selected price is paid in full. The customer shares the Shopify business goal and access; CAT AI checks the environment, identifies the next feasible action, runs it and closes the cycle with expert management. A one-time purchase covers one Automation; monthly or weekly options support continuing work. A full store migration or multi-system deployment may need further Automations and third-party costs.
