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Use CaseManufacturing & Industrials / Automobiles and parts

Personalise in-vehicle suggestions based on location and passenger requirements

Personalise in-vehicle suggestions based on location data and passenger requests. This might include recommending local attractions, garages for proactive maintenance and finding parking places for drivers.

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Revenue
Revenue - Customer experience
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Revenue
Revenue - Better targeting
Description

Personalise in-vehicle suggestions based on location and passenger requirements

Benefits & ROI

0.3

Linked Case Studies
Case Study
Parkeon
Parkeon predicts vehicle parking space availability using machine learning and predictive algorithms from Dataiku
→
Case Study
Mercedes-Benz
Mercedes-Benz learns driver and passenger preferences to provide a personalised and connected experience using machine learning and conversational agent
→
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Source: mckinsey.com · Editor: original-sdg
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