Portfolio
Case Studies
Practical AI solutions across industries — from autonomous agents and intelligent search to machine learning models and enterprise data platforms.
Agentic AI
Agentic AI Solutions
ThinkCol builds AI systems that reason, act, and complete multi-step tasks on their own — going beyond single-response tools to handle real workflows. Our work spans customer-facing and internal chatbots, meeting and briefing assistants, automated data extraction and sourcing, and text-to-SQL agents — each integrated with the client's own data, systems, and compliance requirements.

Retail Group
AI Sales Co-Pilot
View Case Study →

Commercial Property & Mall Operator
Agentic Ask-Your-Data Analytics
View Case Study →

Retail Group
Text-to-SQL Agent
View Case Study →

Aircraft Distributor
RPA and UI/UX
View Case Study →

CreateCol
Enhancing Consulting Efficiency with AI-Powered Meeting Assistance
View Case Study →

Global Fast Food Chain
Morning Briefing Assistant
View Case Study →

Financial Services Institution
Customer Serivice with LLM
View Case Study →

Medical Platform
Advanced Medical Chatbot
View Case Study →

Metaverse Company
Chatbot in Metaverse
View Case Study →

Rapport AI Medical
Revolutionizing Healthcare with AI-Driven Patient Consultations
View Case Study →

Supply Chain Company
Chatbot with Question Generation Capabilities
View Case Study →
Intelligent Search
AI Intelligent Search Solutions
ThinkCol builds retrieval and search systems that help people and teams find what they need across scattered enterprise knowledge. Our work spans internal SOP and document search, retrieval-augmented generation (RAG), multilingual document search, and media/research retrieval assistants.

International School Group
Multilingual Document Search
View Case Study →

Health & Beauty Retailer
Internal SOP Chatbot
View Case Study →

Broadcaster
Media Research Assistant
View Case Study →

RAG Chatbot
Omnichannel Platform with RAG Chatbot
View Case Study →

Higher Education
Chatbot for University
View Case Study →
Machine Learning
Machine Learning & Forecasting Solutions
ThinkCol develops custom machine learning models that help organisations predict outcomes, optimise operations, and automate complex decisions. Our engagements include demand forecasting, inventory optimisation, assortment planning, propensity modelling, customer segmentation, Transformer-based sales forecasting, computer vision, and NLP-based sentiment analysis — applied to real business data and integrated into existing workflows.

Retail Mall Portfolio Manager
Unit-Level Sales Forecasting
View Case Study →

Property Management Group
Voice & Feedback Intelligence (NLP)
View Case Study →

Hong Kong Retail Landlord
Tenant Risk & Renewal Prediction
View Case Study →

Major Car-Park Operator
Demand Forecasting & Price Optimisation
View Case Study →

Premium Mall Landlord
Tenant-Mix & Halo Effect Optimisation
View Case Study →

Leasing & Asset Management Firm
Leasing Intelligence Platform
View Case Study →

Regional Shopping Centre Group
Loyalty & CRM Intelligence
View Case Study →

Global Apparel Manufacturer
Expense & Invoice OCR
View Case Study →

Hospitality Group
Demand Forecasting & Dynamic Pricing
View Case Study →

Property Group
Transformer-Powered Sales Forecasting
View Case Study →

Financial Institution
Contract Automation
View Case Study →

Financial Printing
Computer Vision
View Case Study →

Contactless Payment
AI and CRM
View Case Study →

Government Department
Mapping Public Sentiment and News Trends
View Case Study →

Lenovo
NLP Social Media Analysis
View Case Study →

HK Conglomerate
Mall Traffic Analysis
View Case Study →

Property Developer
AI in Target Marketing
View Case Study →

Government Entity
AI Consulting, Modelling and Training
View Case Study →

Beverage Company
Realtime IoT Insights
View Case Study →

FMCG / Perishable Goods
Forecasting & Inventory Optimization
View Case Study →

Vinsionaire
Price Prediction
View Case Study →
AI Platform
AI Platform Solutions
ThinkCol builds the platforms and tooling that let organisations create, manage, and scale their own AI and data applications. Our work spans low-code AI app builders and executive dashboards and reporting tools that consolidate disparate data sources into a single operating view.



