AI Supply Chain & Demand Planning in Vietnam

To qualify for the preferential 10% CIT rate for up to 15 years, your AI investment must be documented as a high-tech project in qualifying areas. We help structure your AI implementation -- including documentation, milestone tracking, and technology classification -- to meet the criteria. Note that the new CIT Law (effective October 2025) includes a grandfather clause for existing beneficiaries.

Decree 182/2024 established the Investment Support Fund offering cash grants for qualifying high-tech investments including AI and R&D. Manufacturing firms investing in AI-powered production systems, quality inspection, or predictive maintenance may qualify. First applications were accepted until July 2025, with ongoing rounds expected.

Vietnam's AI Law, effective March 2026, introduces a risk-based classification system (high, medium, low risk). High-risk AI systems require mandatory pre-market conformity assessments and human oversight. We help you assess which classification applies to your use case and prepare the necessary governance documentation before enforcement begins.

Vietnam's Personal Data Protection Law (effective January 2026) requires explicit prior consent for data processing, 72-hour breach notification to the Ministry of Public Security, and impact assessments for cross-border data transfers. The Cybersecurity Law also requires 24-month local data storage for Vietnamese user data. Our implementation includes compliance checkpoints for all these requirements.

Yes. Given that only 15-20% of Vietnam's workforce has business-level English, we deliver all training with Vietnamese-language materials and bilingual facilitators. Hands-on exercises use Vietnamese-language examples and locally relevant case studies.

Yes. AI excels at detecting complex seasonality patterns, trend shifts, and external influences (weather, holidays, promotions) that traditional methods miss. However, extreme volatility (e.g., pandemic demand shocks) requires continuous model retraining. We teach adaptive forecasting and scenario planning.

AI can use publicly available data (financial filings, news, trade data, shipping records) plus your own supplier performance history. We teach data collection strategies, external data sources, and privacy-preserving approaches when suppliers are reluctant to share proprietary information.

Change management is critical. We teach collaborative forecasting where AI provides baseline, and planners contribute market intelligence and override for exceptions. Most planners embrace AI once they see accuracy gains and time freed from spreadsheet work.

Most AI planning platforms integrate with major ERP vendors via APIs or data exports. Integration complexity varies by system age and customisation. We cover technical requirements, middleware options, and IT coordination strategies during training.