What we've built.

The operations team at a retail chain with 3 physical stores and an ecommerce site spent 8 hours a week manually consolidating sales, stock and incident data from four different systems. Data arrived with a 7-day lag and decisions were made on stale information.

We built an automated pipeline with n8n that pulls data from the POS, the ecommerce platform and the ERP, processes it with BigQuery and generates a Looker Studio dashboard refreshed automatically every Monday at 7am.

Zero manual reporting hours. The team recovered a full day each week, now spent on strategic analysis instead of consolidation. The operations director makes decisions on yesterday's data, not last week's.

A logistics company managed its fleet's route assignment manually, with no real-time visibility and no ability to react to incidents. The operations lead spent hours planning routes that became obsolete at the first surprise.

We developed a route-optimization system with an AI agent that factors in delivery windows, vehicle capacity and real-time traffic. Integrated with their fleet management system to reassign routes automatically when incidents arise.

25% higher fleet operational efficiency. Fewer kilometers driven, more deliveries per vehicle and automatic reaction to surprises. The team went from planning routes to supervising exceptions.

A financial services company had 2 support agents handling more than 300 weekly queries. Response times were 4-6 hours and the abandonment rate was high. Scaling meant hiring more staff.

We deployed a conversational agent with RAG trained on their product documentation, FAQs and use cases. Integrated with their CRM to check contract status in real time and escalate to a human only when needed.

70% of queries are resolved without human intervention. Response time dropped from 4-6 hours to under 2 minutes. Customer satisfaction rose from 6.8 to 8.4 out of 10. The 2 agents now handle only the complex cases.