1. Our Commitment to Your Privacy

A Serious AI Sdn Bhd is committed to protecting the privacy of our website vis- itors and customers. As a provider of Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) software for manufacturing and ware- house businesses, we value your trust and comply with the Personal Data Protec- tion Act 2010 (PDPA) of Malaysia to safeguard your personal information. This Privacy Policy explains how we collect, use, disclose, and protect your data when you interact with our website, www.sudu.ai, or our SuDu AI MES/ERP services.

2. Information We Collect

We collect the following types of personal information to deliver and enhance our SuDu AI MES and ERP software services, designed to streamline manufac- turing and warehouse operations:

• Personal Details: Name, email address, phone number, and postal address when you register, subscribe, or contact us for account setup, support, or
• Payment Information: Credit card details or other payment data, securely processed through third-party payment providers to manage subscriptions or service payments.
• Company Details: Business master data provided during account setup or service usage to support manufacturing and warehouse operations, includ- ing:
  • Company name, industry (e.g., automotive, electronics, food and bev- erage, or logistics), and company size.
  • Customer Data: Customer names, contact details, customer identifiers, and delivery addresses for sales order processing.
  • Supplier Data: Supplier names, contact details, vendor identifiers, and contract terms for procurement and supply chain
  • Purchase Order Data: Purchase order numbers, supplier references, material requirements, and delivery schedules.
  • Sales Order Data: Sales order numbers, customer references, ordered items, and shipment details.
  • Plant Codes: Unique identifiers for manufacturing facilities or ware- houses (e.g., factory or storage location codes).
  • Material Data: Material identifiers, descriptions, types (e.g., raw mate- rials, work-in-progress, finished goods), and storage requirements.
• Data Inside the System: Data entered, processed, or generated within our SuDu AI MES/ERP platform to manage manufacturing and warehouse op- erations, including:

                – User-Generated Content (Master and Transactional Data):

• 
  

  • Master Data: Bills of Materials (BOMs) defining product components, production routings, work centers (e.g., machines, assembly lines), material records (e.g., identifiers, specifications), and ware- house storage configurations.

  • Transactional Data: Production orders, work orders, purchase requisitions, purchase orders, sales orders, inventory movements (e.g., goods receipt, goods issue, stock transfers), picking lists, packing details, and quality inspection records.

  • Planning Data: Material Requirements Planning (MRP) inputs (e.g., demand plans, stock levels), production schedules, capacity plans, and shop floor control data.

  • Warehouse Data: Stock levels, storage bin locations, transfer or- ders, cycle count records, and warehouse task confirmations.

  • Quality Data: Test results, defect records, non-conformance re- ports, and compliance certifications, ensuring product quality and regulatory adherence.

                – AI Inputs/Outputs:

• • Inputs: Historical production data (e.g., cycle times, downtime logs), material consumption records, warehouse throughput data, equip- ment performance metrics, or sales order trends used for AI-driven analytics.

  • Outputs: Predictive maintenance alerts (e.g., equipment failure predictions), demand forecasting models, inventory optimization recommendations, production bottleneck analyses, and quality de-fect predictions, enhancing operational efficiency.

                – Usage Logs:

• • Records of system interactions, such as creating or confirming pro- duction orders, running MRP processes, generating purchase or sales orders, updating BOMs, or executing warehouse movements (e.g., goods receipt, stock transfers, picking confirmations)

  • Warehouse movement data, including timestamped records of stock relocations, bin assignments, or shipment preparations.

  • Audit trails capturing user actions (e.g., approving work orders, modifying material records, or adjusting quality data) for trace- ability and compliance.

• Website and Service Usage Data: Information about your interactions with www.sudu.ai or SuDu AI MES/ERP interfaces, including:

                – Website Interactions: IP address, browser type, device information, and pages visited (e.g., product pages, support portals, or demo request forms).

                – SuDu AI Interface Interactions: Actions within MES/ERP interfaces, such as:

• • Accessing real-time production dashboards to monitor shop floor KPIs (e.g., production output, machine utilization).
  • Generating reports (e.g., material availability, inventory status, quality compliance).
  • Configuring shop floor terminals for operator tasks (e.g., work or- der execution, quality checks).
  • Using mobile or web-based interfaces to update sales orders, track purchase orders, or manage warehouse stock.
  • Interacting with planning tools for MRP runs or capacity scheduling.

                – Data collected via cookies and similar technologies to track usage pat- terns and improve system performance.

• Communication Preferences: Your choices regarding marketing or service- related communications, including subscriptions to newsletters or system