e-commerce

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Product Accelerator thru Agentic AI

Reimagining commercialization processes with AI-driven orchestration to reduce time-to-market, improve quality, and unlock new revenue opportunities

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Lengthy commercialization cycles, manual workflows, and fragmented approvals limit speed-to-market and increase operational complexity in product innovation.

Why this product acceleration challenge?

Process complexity slows innovation and revenue realization

Serialized workflows, key-person dependencies, and manual errors delay product launches and reduce responsiveness to market demand.

Key benefits

From Slow, Siloed Processes to Accelerated Execution

Streamlining workflows, reducing dependencies, and enabling faster, error-free time-to-market.

Extended time-to-market

Product commercialization cycles can exceed 12 weeks, delaying customer response.

Dependency on key experts

Critical knowledge resides with SMEs, creating bottlenecks when expertise is unavailable

Manual and error-prone processes

Activities such as labeling and approvals introduce inefficiencies and rework

Fragmented workflows and approvals

Siloed processes and unnecessary hand-offs slow execution and increase complexity.

How NTT DATA helps

01

AI-first process reimagination

Redesign end-to-end commercialization processes using agentic AI to streamline operations

02

Autonomous workflow orchestration

Enable coordinated decision-making across systems with AI-driven recommendations and approvals

03

Human-in-the-loop validation

Combine AI scale with expert oversight to ensure accuracy and quality in outputs

Close-up of a person wearing glasses looking at a screen

04

Enterprise knowledge integration

Leverage knowledge graphs and connected data to provide contextual intelligence across processes

05

Process automation and optimization

Reduce manual effort through automated data consolidation, content generation, and system setup.

Proven impact

Driving faster product launches and smarter commercialization through AI

Results that matter

Accelerated innovation cycles and improved operational efficiency in product development

Reduced commercialization cycle time

From 7–8 weeks to approximately 3 weeks, enabling faster revenue realization.

Increased speed-to-market

Faster response to customer needs in competitive environments.

Lower operational effort and cost

Automation reduces manual workload and frees teams for higher-value activities.

higher quality, customer impact, and innovation at scale

AI-driven workflows reduce errors, enhance responsiveness, and enable a shift toward collaborative innovation

Accelerate product commercialization and turn complexity into competitive advantage

Unlock speed to market

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