Case Study • 2026
Sembot – Workflow Automation & Practical AI Features in MarTech SaaS
Commercial contribution to a multi-tenant MarTech SaaS: workflow automation tooling, XML/CSV feed validation, and contextual knowledge-base integration for the platform’s AI assistant.
Stack
Laravel Angular OpenAI PHP TypeScript MySQL
Contributed to Sembot — a multi-tenant MarTech SaaS platform used by agencies and advertisers to manage product feed campaigns. Focused on three areas: workflow automation UX, feed data quality tooling, and practical AI feature delivery.
Key Contributions
- Visual Expression Picker: Designed and implemented a UI component allowing non-technical users to build conditional logic for automated campaign workflows — removing the need for manual scripting and reducing onboarding friction.
- Feed Validation & Triage: Extended the XML/CSV feed validation pipeline with clearer error / warning / info classification. Improved signal-to-noise ratio so that account managers could act on critical issues without wading through noise.
- AI Assistant – Knowledge-Base Integration: Integrated contextual knowledge-base note selection into the platform’s AI chat assistant, enabling the assistant to surface relevant internal documentation and product guidance during user conversations.
Context
Commercial engagement. The platform serves real agency clients at scale. Work was delivered iteratively within an established Laravel + Angular codebase.