All Case Studies
Machine Learning Predicts Loan Defaults with 80% Accuracy for Hardware Leasing Giant
Facing a growing challenge in Southeast Asia’s dynamic financial landscape, a leading hardware leasing organization sought a solution to mitigate risk and optimize its loan portfolio. Their primary concern was to identify potential loan defaulters before they could negatively impact the company’s bottom line. By leveraging the power of predictive
Data Engineering Drives Efficiency: Malaysian Telco Achieves 100x Faster Data Retrieval
A Malaysian telecommunications leader faced a growing challenge: their existing data lake, burdened by over 600 terabytes of subscriber data, call detail records, and mobile broadband usage information, was struggling to keep pace with their evolving needs. Recognizing the limitations of their aging infrastructure, they embarked on a strategic data
Natural Language Processing Enables 40% Faster Market Response for Global Automaker
Our client, a global conglomerate and manufacturer of both passenger and commercial vehicles, recognized the burgeoning electric vehicle (EV) market in China. To gain a competitive edge, they sought an AI-driven solution – specifically Natural Language Processing (NLP) – to identify and continuously monitor real-time consumer preferences for EVs in
Powered by AI Route Optimization, Regional Express Provider Achieves 50% Faster Delivery
Faced with a dynamic and competitive landscape, our client, a leading express delivery service provider in Malaysia is setting its sights on significant growth and geographical expansion. To solidify their position as a leader in the industry, they recognize the crucial role of operational efficiency in meeting the ever-increasing demands
AI Demand Forecasting Slashes Ecommerce Giant’s Inventory Costs by $600K a Month
A leading SEA ecommerce brand faced a common foe: inaccurate inventory forecasts. Their reliance on manual manual demand forecasting led to data complexities, human errors, and a lack of integration with other systems. This resulted in disruptions throughout their supply chain, creating a constant struggle to maintain optimal inventory levels.
FMCG Client Unlocks Real-Time Performance Reports Through Seamless Data Integration
Our client, a conglomerate focusing on fast-moving consumer goods (FMCG), was growing with data. Manual data management and reporting processes were time-consuming, hindering their ability to make swift, data-driven decisions. Extracting insights from their ERP and Sales systems was a laborious manual exercise, leaving them with outdated, fragmented information. This
Manufacturing
Computer Vision Inspection Results in 75% Productivity Boost For Food Manufacturer
In the heart of Malaysia, a food manufacturer faced a rising crisis: manual inspection bottlenecks were slowing production, impacting quality, and causing costly food waste.
Automotive
Natural Language Processing Enables 40% Faster Market Response for Global Automaker
Our client, a global conglomerate and manufacturer of both passenger and commercial vehicles, recognized the burgeoning electric vehicle (EV) market in China. To gain a
Consumer Electronics
Machine Learning Predicts Loan Defaults with 80% Accuracy for Hardware Leasing Giant
Facing a growing challenge in Southeast Asia’s dynamic financial landscape, a leading hardware leasing organization sought a solution to mitigate risk and optimize its loan
E-Commerce
AI Demand Forecasting Slashes Ecommerce Giant’s Inventory Costs by $600K a Month
A leading SEA ecommerce brand faced a common foe: inaccurate inventory forecasts. Their reliance on manual manual demand forecasting led to data complexities, human errors,
FMCG
FMCG Client Unlocks Real-Time Performance Reports Through Seamless Data Integration
Our client, a conglomerate focusing on fast-moving consumer goods (FMCG), was growing with data. Manual data management and reporting processes were time-consuming, hindering their ability
Telco
Data Engineering Drives Efficiency: Malaysian Telco Achieves 100x Faster Data Retrieval
A Malaysian telecommunications leader faced a growing challenge: their existing data lake, burdened by over 600 terabytes of subscriber data, call detail records, and mobile