Toyoshima achieves 60% faster processes and 70% quicker data access with AI-driven digital transformation

Toyoshima, a leading textile company, relied on paper-based manual workflows and had critical data fragmented across emails, local drives, and paper records. A previously attempted data lake project remained incomplete, and AI design tools like AI Fabric Genie operated in silos with no integration into core business processes. The lack of real-time order visibility created operational bottlenecks that stalled their digital transformation.

Aokumo's AI Advisory team developed a strategic roadmap that replaced manual processes with AI-driven automation and designed a centralized AWS data lake for instant, secure data access. The engagement also established a framework to integrate AI Fabric Genie and other design tools into a unified digital ecosystem. Multiple transformation scenarios were provided to align with different scopes, timelines, and investment levels.

Toyoshima achieved 60% faster processing times through AI-driven workflow automation and a 70% improvement in data access speed via the centralized data lake. Full workflow transparency was established through a newly designed order management system with real-time tracking. The integration of AI Fabric Genie improved data connectivity and positioned Toyoshima to scale its AI initiatives sustainably.

• Centralizing fragmented data into a unified architecture (AWS data lake) is a prerequisite for effective AI adoption — disconnected systems neutralize AI investments.
• Providing multiple implementation scenarios with varying scopes and timelines increases organizational buy-in during digital transformation.
• Integrating specialized AI tools (e.g., design tools) with core business processes rather than running them in silos multiplies the value of each AI investment.