Redesigning
Operations

The Challenge: The client was managing inventory, order logs, and supplier delivery dates across 45 separate Excel spreadsheets. Staff manually copied order data three times between Shopify, their warehouse package, and Xero accounting. Data discrepancies occurred on 8% of transactions, leading to inventory shortages and shipping delays.

The Solution: We audited their spreadsheet sprawl and built a central PostgreSQL database. We migrated all inventory and historical order data, then wrote automated pipelines that sync sales channels, warehouse counts, and bookkeeping in real-time. No manual data transfer is required.

The AI Integration: With clean data unified, we layered a private AI search engine. The operations team can now query live system states using simple text (e.g., "Show me all orders from this week pending supplier confirmation" or "Highlight which SKU volumes are falling below average lead times") to make instant decisions.

The Challenge: Customer delivery updates and driver performance metrics were siloed in three disconnected legacy software databases. Compiling monthly performance audit reports for key clients required 14 hours of spreadsheet analysis every single week by the operations manager, delaying crucial strategic updates.

The Solution: We connected the API feeds of their dispatch, tracking, and customer logs into a unified dashboard data warehouse. We created automated scripts that validate and structure the data hourly, ensuring accurate timestamp tracing.

The AI Integration: We implemented an automated AI summarization agent. At the end of each day, the agent checks the unified logs, writes clear, natural-language executive summaries of delivery performance, detects delay trends, and automatically drafts client update emails for review.