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Talks that move

Data-Driven Grocery Business Models

Designing new revenue models using 1st and 3rd party data 
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Data remains underutilized as a business asset.
WHY DATA-DRIVEN GROCERY BUSINESS MODELS?
Data products unlock new revenue streams while improving personalization and partner value.

This delivers data that pays back—monetizing intelligence.

How NTT DATA helps

01
Platform design 
Two people use VR and a tablet to analyze a virtual grocery shelf, with blue data dashboards and charts overlaid on produce and packaged goods.
02
Governance frameworks 
Aviation specialists evaluating AI use cases against operational priorities
03
GTM enablement 
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Key benefits
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New revenue streams 
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Data monetization strategy 
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Privacy and cybersecurity 
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Ecosystem alignment 
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Proven impact
Data value unlocked 
Results that matter
Retail organizations achieve measurable improvements: 
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Revenue from data

Generated 

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Partner adoption

Increased 

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Data usage

Scaled

Design new revenue models using grocery data. Monetize retail data → 

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