47 Recommendation Engine Case Studies by 2025
- 47 use cases in 13 industries
- 5 business processes in 1 business functions
- Implementations in 49 companies in 17 countries
- 5 benefits
- Growth over 6 years
- 6 vendors which created these case studies
Which industries leverage
recommendation engine?
The most common use case of recommendation engine is Retail which is mentioned in 56% of case studies.
The most common industries using recommendation engine are:
- Retail
- Media / Publishing
- Leisure / Travel
- Other
Which processes leverage
recommendation engine?
The top process reported in recommendation engine case studies is Marketing analytics.
Most common business processes using recommendation engine are:
- Marketing analytics
- Content marketing
- Campaign management
- Demand generation
- Lead nurturing
What are recommendation engine’s use cases?
The most common use case of recommendation engine is personalized marketing which is mentioned in 47% of case studies.
What are recommendation engine’s benefits?
The most common benefit of recommendation engine is improved customer experience which is mentioned in 41% of case studies.
How are recommendation engine case studies growing?
Growth by Vendor
Leading vendors in terms of case study contributions to recommendation engine are:
- Dynamic Yield
- Adobe
- Vue.ai
Growth over time
- The first case study in our DB was published: 2014
- Most recommendation engine case studies have been published: 2015
- The highest increase in the number of case studies was reported vs the previous year: 2015
- The largest decrease in the number of case studies was reported vs the previous year: 2017
Comprehensive list of recommendation engine case studies
AIMultiple identified 47 case studies in recommendation engine covering 5 benefits and 47 use cases. You can learn more about these case studies in table below:
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Harvard Business Review
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Costa Crociere S.p.A.
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Jimmy Jazz
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Ocado
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Chal-Tec
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HelloFresh
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Charles Sturt University
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Pets Place
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Cupid Media
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MediaMarkt
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APMEX
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LUISAVIAROMA
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Jewelry.com
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DER Touristik
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Kopari Beauty
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Scandinavian Airlines
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National Australia Bank
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Sephora Digital SEA
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Lamoda
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Mackage
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Deloitte
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everjobs
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Computer Sciences Corporation (CSC)
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Royal Bank of Scotland
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Ferguson
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Senshukai Co., Ltd.
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Hallmark Channel
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T-Mobile
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Manipal Global Education Services Pvt. Ltd.
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ibex
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Our research on recommendation engine
If you want to learn more about recommendation engines, you can also check our related
research articles that can assist you in your decision:
Top 20 Real-Life Search Engine Applications
IoT Banking Industry: Benefits, Challenges & Recommendations