- All Foundries
- 商品管理と取引
- 顧客とマーケティング戦略
- デジタルエンジニアリング
- ステーション・スタジオ
- サプライチェーン＆インダストリー5.0
- サステナビリティ
- Physical AI
- Next-Gen Infrastructure
Generative experiences & hyperpersonalized CX
Customers move between apps, websites, messaging, retail and service channels with one goal in mind, yet most journeys still respond with fragmented data, fixed content and inconsistent offers. Generative AI can interpret context and shape the next interaction in real time. Value emerges only when consented data, content, decisions and fulfilment work together, with human accountability and clear commercial guardrails.
Combine consented customer context, journey signals and live interaction cues to shape a more useful next step.
Create, adapt, localize and approve content for different customers and channels without multiplying manual production effort.
Connect recommendations to eligible offers, commerce and fulfilment so a helpful exchange can become a completed outcome.
Apply consent, brand, accessibility and business rules at every step, with people accountable for the experience and its consequences.
NTTデータのサポート体制は？
Prioritize the customer moments where a generative experience can influence acquisition, conversion, engagement or retention; define the baseline, value hypothesis and path to scale.
Connect consented profiles, product and usage data, journey signals, approved knowledge, eligibility rules and identity controls to give each interaction reliable context.
Equip marketing and content teams with agents that draft, adapt and localize assets, while people retain approval, brand and compliance accountability.
Link intent detection, decisioning, generative models, journey orchestration, digital channels, commerce and service systems to deliver the next best experience.
Establish guardrails, evaluations, observability and experimentation for quality, safety, latency, cost and commercial performance in production.
A European communications provider reported a 40% increase in marketing campaign conversion after applying generative AI to customer experience. In an adjacent consumer sector, a global beauty company launched a conversational shopping assistant across messaging and social channels, connecting personalized recommendations to in app purchase. Together, the examples show a practical path from contextual engagement to commercial action, while keeping telecom evidence distinct from cross sector inspiration.
Track journey completion, engagement, recommendation acceptance and conversion by moment and channel.
Measure incremental revenue, average order value, cross-sell and up-sell, customer lifetime value and retention against a clear baseline.
Monitor production cycle time, reuse, approval effort, cost per variant and time from insight to activation.
Measure accuracy, escalation, opt-out and complaint rates, accessibility, consent compliance, latency and cost per interaction.
Start the strategic conversation that connects data, content, orchestration and accountable AI around measurable growth.
