brown cardboard boxes on white metal rack
brown cardboard boxes on white metal rack

The Call For Action

The logistics and supply chain sector is facing significant pressure to modernize. It is highly fragmented, cost-sensitive, and customer-driven, requiring digital solutions to stay competitive.

Key Problems Identified:

  • Manual processes and fragmented data handling

  • Lack of actionable insights for rate optimisation and customer behaviour

  • Limited predictive capabilities in demand forecasting and customer churn

  • Low visibility into customer sentiment and service feedback trends

Driving Change

a large crane that is sitting in the air
a large crane that is sitting in the air
the sun is shining above the clouds in the sky
the sun is shining above the clouds in the sky

Tangram's Solution:

Tangram delivered a 1-day bespoke AI awareness training for a leading logistics and warehousing provider in Malaysia. Designed to be highly interactive, the session combined foundational learning with hands-on engagement to build awareness and inspire practical AI integration across leadership, operations, and strategy.

Participants were introduced to core concepts of Artificial Intelligence, Machine Learning, and emerging technologies, with step-by-step breakdowns of AI systems, terminology, and ethical considerations. Live demonstrations showcased AI tools in action, including financial analysis using ChatGPT and image generation with Midjourney, offering real-time insights into automation, analytics, and content generation. The training featured industry-specific examples, fireside discussions with subject matter experts, and a case-study-driven approach that helped participants apply AI thinking across business growth stages.

Tangram’s solution also explored governance frameworks, data readiness strategies, and change management models critical to successful AI adoption. Open dialogues encouraged participants to raise real operational challenges, including document automation across various freight formats, market rate tracking, competitor intelligence, predictive analytics, and data sourcing strategies. The session empowered leadership teams with conceptual clarity and practical strategies to drive AI-driven transformation across their organization.

an empty parking garage with no people in it
an empty parking garage with no people in it

Impactful Outcomes

The training resulted in several impactful outcomes for the leadership team. Participants gained a clear roadmap for early-stage AI adoption, one that was closely aligned with the organisation’s strategic business objectives. They also developed a deeper understanding of how to structure and prepare internal data assets—an essential step for accelerating AI implementation and maximizing its value. In addition, the session provided a practical framework for evaluating AI tools, potential vendors, governance models, and identifying internal capability gaps. This empowered the organisation to make informed decisions around AI investments and readiness.

Following the training, several actionable next steps were identified. These included the development of a centralised data hub, the design of proof-of-concept (POC) initiatives, and the proposal to establish a Chief AI Officer role to lead AI governance and execution. Overall, the session marked a significant shift from AI exploration to strategic readiness, laying a strong foundation for future digital transformation.