How We Approach Real-World Challenges

Context

A regional distributor receives proof-of-delivery notes and supplier delivery documents by email and scanner, in many formats. A small operations team re-keys details into the warehouse system each day.

Challenge

Backlogs build up during peak periods, data entry errors cause invoice disputes, and managers cannot see processing status.

Our approach

1. 1Map the current intake process and collect sample documents from major suppliers
2. 2Classify documents and extract key fields with document AI
3. 3Validate extracted data against open purchase orders
4. 4Route low-confidence items to a review screen
5. 5Post validated data to the warehouse system and show status on a dashboard

Context

A clinic group’s reception teams answer a high volume of calls about opening hours, preparation instructions and appointment changes, limiting time for patients at the front desk.

Challenge

Phone queues are long at peak times, information given varies between locations, and clinical questions occasionally reach non-clinical staff.

Our approach

1. 1Analyse common enquiry types from call logs and emails
2. 2Consolidate approved patient information into a reviewed knowledge base
3. 3Build an assistant that answers general questions with source links
4. 4Route clinical questions and sensitive topics to staff
5. 5Integrate appointment change requests with the booking system after authentication

Context

A specialty retailer with several stores and an online shop plans replenishment in spreadsheets, using last year’s sales and buyer intuition.

Challenge

Popular items sell out at some stores while others hold surplus, and planners spend days each week assembling data.

Our approach

1. 1Unify stock and sales data from point-of-sale, e-commerce and warehouse systems
2. 2Build demand forecasts at product and location level
3. 3Generate replenishment and inter-store transfer suggestions
4. 4Provide a planner dashboard to review and approve actions
5. 5Monitor forecast accuracy and refine models

Context

An advisory firm’s consultants spend significant time searching shared drives and asking colleagues for past proposals, methodologies and templates.

Challenge

Valuable knowledge is hard to find, new joiners take longer to become productive and work is often recreated from scratch.

Our approach

1. 1Identify authoritative repositories and assign content owners
2. 2Index documents with metadata and access permissions
3. 3Build a permission-aware assistant that answers with citations
4. 4Embed search and Q&A in the firm’s collaboration tool
5. 5Report unanswered questions to content owners