Intelligent Customer Churn Prediction — Telecom Operator
A regional telecom provider was losing high-value customers with no early warning system in place. We developed a machine learning model trained on two years of usage, billing, and support data — surfacing at-risk customers 45 days in advance with 87% accuracy. Retention teams acted on AI-prioritised lists, reducing monthly churn by 31% within the first quarter. The solution integrated directly into the client's CRM with zero workflow disruption.
Real-Time Asset Monitoring — Heavy Equipment Manufacturer
A heavy equipment manufacturer had no visibility into machinery health across 40+ client sites. We deployed an IoT solution with edge sensors capturing vibration, temperature, and load data every 30 seconds, paired with a cloud dashboard providing live health scores and automated alerts. Unplanned downtime dropped 42% in six months, and the system flagged three major mechanical failures before any physical symptoms appeared.
Autonomous Purchase Order Processing — FMCG Distributor
A fast-moving consumer goods distributor was processing 800+ purchase orders daily with 12 manual data entry staff. We built an autonomous AI agent that reads incoming orders from email and supplier portals, validates against the ERP, flags exceptions, and routes approved orders for fulfilment — without human intervention. Processing time fell from 4 hours per order to under 8 minutes. Staff were redeployed to higher-value supplier and exception management work.
Demand Forecasting Engine — Retail Chain
A mid-sized retail chain with 60 stores was over-ordering slow-moving SKUs while running out of bestsellers. We built a forecasting engine combining historical sales, local events, weather data, and promotional calendars — generating store-level, SKU-level forecasts 8 weeks ahead with 91% accuracy. Overstock costs dropped 24% in the first season; stockouts on high-velocity products fell 38%, lifting both revenue and customer satisfaction.
Automated Defect Detection — Automotive Components Supplier
A Tier-1 automotive supplier relied on manual visual inspection of stamped metal components — producing a 2.1% defect escape rate. We deployed a computer vision system using high-resolution cameras and a custom-trained deep learning model. The system processes 1,200 components per hour, identifies 14 defect categories, and flags non-conforming parts in real time. Defect escape rate fell to 0.08%; inspection labour costs dropped 65%.
End-to-End Invoice Processing Automation — Logistics Firm
A national logistics company was processing supplier invoices across 6 regional offices with inconsistent manual workflows — causing payment delays and audit headaches. We deployed an intelligent automation system that captures invoices digitally, extracts key fields with AI document processing, performs three-way matching against POs and delivery records, and routes exceptions automatically. Processing time fell from 7 days to under 18 hours, errors dropped 94%, and the finance team reclaimed 300+ staff-hours per month.