Industrial Collaborations

Welcome to the "Industrial Collaboration" page. This is where I've chronicled the intersections of my expertise with real-world business challenges across diverse industries and functions. Each collaboration paints a picture of how data-driven strategies can be tailored to meet specific needs and create significant impact.

To aid your journey through these stories, I've organized them using Industry and Function tags. Whether you're curious about my ventures in specific sectors like healthcare or retail, or are interested in understanding my approaches to areas such as UI/UX or service planning, these tags will help you pinpoint exactly what you're looking for.
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Feel free to navigate through and see firsthand how data analytics can turn complex challenges into actionable insights and tangible outcomes.

Industry Tags

Functional Tags

1. Manufacturing: Encompassing sectors involved in the production of goods at a large scale. Examples include companies that produce technological devices, vehicles, and more.
Companies Covered: Dell, CATL, Nissan (Auto loan financing aspect)

2. Retail: Covering businesses that sell goods directly to consumers, whether through brick-and-mortar stores, e-commerce platforms, or other sales channels.
Companies Covered: L'Oréal, a large B2B website, a large B2C e-commerce website, TikTok (for its e-commerce aspect)

3. Healthcare: Industries providing medical services, support, and products. This tag also encompasses elder care services and institutions.
Companies Covered: Hospital diagnosis center, a large hospital, nursing home chains

4. Professional Services: Sectors offering specialized support to businesses or individuals, ranging from financial services to consulting.
​Companies Covered: An Investment bank, DOE (Department of Energy), an AI-infused consulting platform, Nissan (For its auto loan financing aspect)

1. Supply Chain & Inventory Management: Concentrates on the end-to-end flow of goods, emphasizing aspects like demand prediction, inventory accuracy, and sourcing strategies.
Functions Covered: Global sourcing, demand forecasting, inventory record accuracy, production planning, and strategic customer order coordination.

2. Service Planning & Delivery: Targets enhanced customer interactions and streamlined service strategies, ensuring efficient and satisfying outcomes.
Functions Covered: Call centre operations, tailored service offerings, loan reassessment, service planning in healthcare, and etc

3. UI/UX & Digital Operations: Dedicated to optimizing the design and operations of digital platforms to ensure user-friendly experiences and increase engagement or sales.
Functions Covered: UI design for information display, channel-specific shopping nudges, and promotion strategies.

4. Marketing & Promotion Strategy: Deals with optimizing marketing resource allocation, understanding customer behavior, and crafting campaigns that resonate with target audiences.
Functions Covered: E-commerce marketing channel selection, cross-product and holiday effect considerations in marketing, and livestream e-commerce KOL selection.

Manufacturing

Dell:

• Industry: Manufacturing
• Function: Supply Chain & Inventory Management
• Issue: Predict a product’s weekly demand before launch to optimize global sourcing.
• DEFI _ Data: Sales data from previous generations of products.
• DEFI _ Exploration and Finding: Improved forecasting accuracy with the PLC-based forecasting framework, showing a 3% to 15% accuracy range for different product generations.
• DEFI _ Impact: Incremental average of $5 profit margin for each unit of product sales, benefiting from the 59.65 million units of annual sales.

​CATL:

• Industry: Manufacturing
• Function: Supply Chain & Inventory Management
• Issue: Coordinate production planning with strategic customer orders.
• DEFI _ Data: Historical order and cancellation data.
• DEFI _ Exploration and Finding: Improved customer monthly demand forecast using a hybrid algorithm and optimized production planning.
• DEFI _ Impact: Estimated inventory cost reduction of around 0.6 billion RMB.

Retail

L'Oréal:

• Industry: Retail
• Function: Marketing & Promotion Strategy
• Issue: Deciding on the optimal e-commerce marketing channel.
• DEFI _ Data: Historical marketing spend data and customer impressions at a daily-channel level.
• DEFI _ Exploration and Finding: Designed an optimal marketing resource allocation strategy considering cross-product and cross-day spillover effects, and different holiday periods.
• DEFI _ Impact: Overall uplift in marketing effectiveness.

Large B2B Website:

• Industry: Retail
• Function: UI/UX & Digital Operations
• Issue: The UI design complexity impedes effective supplier selection.
• DEFI _ Data: Historical transactional dataset.
• DEFI _ Exploration and Finding: Determined key attributes for retailers’ sourcing decisions and simplified information display.
• DEFI _ Impact: Increased transaction volume and more returning customers.

Large B2C E-commerce Website:

• Industry: Retail
• Function: UI/UX & Digital Operations, Marketing & Promotion Strategy
• Issue: Managing multiple customer shopping channels.
• DEFI _ Data: Historical customer touchpoint and product datasets.
• DEFI _ Exploration and Finding: Identified distinct customer behaviors in each channel and designed tailored shopping strategies.
• DEFI _ Impact: Enhanced customer experience and potentially increased sales.

TikTok (Livestream E-commerce):

• Industry: Retail
• Function: Marketing & Promotion Strategy
• Issue: KOL selection for effective livestream marketing.
• DEFI _ Data: Customer impression data during livestream sessions.
• DEFI _ Exploration and Finding: Identified strategies for KOL selection tailored to target marketing.
• DEFI _ Impact: More efficient use of marketing budgets and increased viewer engagement.

HEALTHCARE

Hospital Diagnosis:

• Industry: Healthcare
• Function: Service Planning & Delivery
• Issue: Addressing the lack of patient data from advanced health checks due to various constraints.
• DEFI _ Data: Patient health records and data.
• DEFI _ Exploration and Finding: Developed a deep-learning based diagnosis algorithm to impute patients' missing information and predict diseases.
• DEFI _ Impact: Achieved prediction accuracy at par with advanced health checks. The algorithm is used in countryside healthcare dispatch, telemedicine platforms, and as in-house assistance for doctors.

Large Hospital's Surgical Management:

• Industry: Healthcare
• Function: Service Planning & Delivery, Supply Chain & Inventory Management 
• Issue: Balancing between patients’ customization needs and operational benefits of standardized surgical supplies.
• DEFI _ Data: Detailed surgical supplies consumption dataset.
• DEFI _ Exploration and Finding: Proposed a middle-ground strategy for standardizing major surgical supplies while allowing deviations for patient-specific needs.
• DEFI _ Impact: Improved patient welfare and optimized surgical supply inventory management.

Nursing Home Chain Operations:

• Industry: Healthcare
• Function: Service Planning & Delivery
• Issue: Identifying investment areas to enhance financial and clinical quality, and patient experience.
• DEFI _ Data: Operational dataset on US nursing homes.
• DEFI _ Exploration and Finding: Delivered a service planning strategy for nursing home chain operators.
• DEFI _ Impact: Targeted strategy to simultaneously enhance patient welfare and profits for chain operators.

Professional Services

Investment Bank's Call Center:

• Industry: Professional Services
• Function: Service Planning & Delivery
• Issue: Balancing between speed and quality requirements from customers.
• Data: Historical contact data.
• Finding: Segmented customers into speed-sensitive and quality-sensitive groups and rearranged service resources.
• Impact: Achieved a 15%-30% increase in customer satisfaction.

DOE's High-speed Network:

• Industry: Professional Services
• Function: Service Planning & Delivery
• Issue: Coordinating large data transfers short-term and guiding infrastructure expansion long-term.
• Data: Historical data transfer records.
• Finding: Predicted transfer times for better data transfer coordination and used long-term forecasts for infrastructure investment planning.
• Impact: Improved network efficiency and strategic infrastructure development.

AI-infused Consulting Platform:

• Industry: Professional Services
• Function: Service Planning & Delivery
• Issue: Designing a system where human and AI collaborate in the service delivery process.
• Data: AI text mining outputs and human consultancy records.
• Finding: Recognized the strengths of AI in unbiased and diversified text processing and repositioned human roles for optimal consulting.
• Impact: Enhanced consultancy service quality and efficiency.

Nissan (Auto Loan Financing):

• Industry: Professional Services (Financing)
• Function: Service Planning & Delivery
• Issue: Reassess customers’ loan payment capability over time and decide when to resell default vehicles.
• Data: Customers’ reactions to outbound calls.
• Finding: Developed a deep learning algorithm to enhance prediction accuracy for customer delinquency.
• Impact: 60% reduction in outbound calls for customer management and approximately $3000 increased value from each defaulted vehicle resale.