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Car-Sharing Convenience

Industries converge on the sharing economy to engender hyper-convenience

Implications - One of the key appeals of the sharing economy is the heightened convenience that its services offer over traditional competitors. As consumers grow more accustomed to these conveniences, extraneous brands are further amplifying the handiness of ride-sharing services by harmonizing with them. With consumers coming to expect previously unheard of on-demand services in all aspects of their lives, the logical next paradigm requires hyper-convenient offerings that hybridize multiple convenience-based industries.
Workshop Question - Which adjacent industry could your brand partner with to increase the convenience of the service for your consumers? What would that hybrid service look like?
Trend Themes
1. Hyper-convenient Offerings - As consumers come to expect hyper-convenient offerings in all aspects of their lives, businesses need to hybridize multiple convenience-based industries for gaining a competitive advantage.
2. Partnerships and Integration - Collaborations with other established online brands, transport services and vendors can allow ridesharing services to offer a highly tailored, integrated and complete experience for its customers.
3. In-car Vending and Business Opportunities - Offering clients add-on services that utilize a business' fleet or a driver's idle time such as in-car vending machines and business-focused ridesharing features can provide drivers and businesses an extra source of income.
Industry Implications
1. Transportation - The transportation industry must continuously evolve to meet consumer demands and offer integrated services while tuning into cultural innovations and advancements in technology.
2. Retail - Ridesharing services can integrate with brick-and-mortar retail businesses for offering hyper-convenient pickup and drop-off options and location-based in-ride recommendations utilizing AI and machine learning technologies.
3. Technology - Technology advancements including chatbots, AI, and machine learning are transforming the ridesharing industry with features like hyper-personalization, predicting transportation needs, and improving overall customer caregiving.
3.3
Score
Popularity
Activity
Freshness
Patterns
Megatrends
5 Featured, 41 Examples:
50,050 Total Clicks
Date Range:
Nov 16 — Sep 17
Trending:
Average
Consumer Insight Topics:

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