Toyota's Digital Transformation Journey: Enhancing the Customer Experience
Key Takeaways:
Toyota is enhancing the customer experience by addressing the challenges faced in configuring and purchasing their desired vehicle online.
Toyota is leveraging advanced technologies, including machine learning and AI, to improve supply chain visibility, inventory management, and customer-facing experiences.
The transformation involves modernizing Toyota's technology foundation, eliminating waste, and making data-driven decisions to drive continuous innovation and remain competitive.
Enhancing the Customer Experience
Challenges faced by customers:
Difficulty finding the exact vehicle configuration they want
Limited visibility into dealer inventory and availability
Compromises in what customers configure and what they can actually purchase
Toyota's Response:
Putting more focus on attainable inventory
Expanding the pipeline visibility of inventory beyond the dealer's physical lot
Enriching dealer tools and online customer tools with ML-based recommendations
Enhancing views with highly accurate ETA predictions
Behind the Scenes: Digital Backbone
Workforce and Employee Experience Transformation:
Moving away from complex Excel workbooks and tribal knowledge
Equipping product planning teams with ML-based forecasting tools
Strengthening the resilience of the value chain through scenario planning and AI-powered decision-making
Modernizing the Technology Foundation:
Methodically modernizing legacy systems
Eliminating waste (muda) through the adoption of new technologies
Leveraging technologies like GNI and graph databases to enable faster and more precise data-driven decisions
Digital Platform and Supply Chain Symphony
Integrating Demand Forecasting and Demand Fulfillment:
Demand forecasting products
Demand fulfillment and supply-demand matching engines
Intelligent Fulfillment Engine:
Matching customer configurations to available inventory and virtual pipeline
Providing information on percentage match, ETA, pricing, and leasing options
Order Recommendation Engine:
Generating unconstrained demand forecasts based on customer and dealer signals
Feeding into the Scheduling Optimization Engine
Scheduling Optimization Engine:
Incorporating supplier constraints and disruption information
Optimizing the production mix to deliver on-time and in-full for customers
Digital Data Thread:
Providing seamless connectivity across the supply chain
Enabling modernization of underlying legacy systems
Impact of the Transformation
Improved sales margins and increased R&D investments
Higher resilience to supply chain disruptions
Happier customers with the right car at the right time and price
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