No-Code Personalized E-commerce Product Recommendations and Search.

Powered by Machine Learning with Full Human Control.
Increase revenue 5-30% across desktop and mobile by presenting the most relevant items to your shoppers. See Jewel ML implemented in 30 minutes and time to revenue in less than 2 weeks!

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The top companies in the world are utilizing ML-powered Personalization

The largest technology companies in the world use Machine Leaning (ML) to drive personalization across their offerings.

+40%

of Amazon's revenue is generated through ML powered personalized recommendations.

+75%

of all Netflix consumption comes from personalized content

+230%

Increase in revenue per session when advertisement is personalized

+50%

of all content watched on YouTube is from personalized recommendations

What Jewel ML offers

Show your shoppers the items they love and are looking to buy

Jewel ML utilizes technologies such as Natural Language Processing (NLP), Behavioral Science, Vision Understanding, and Deep Neural Networks to show relevant recommendations that open up your entire E-commerce store for your shoppers to see based on their behavior.

Blazing Fast Search with Custom Filters and Personalized Recommendations to help your shoppers find the items they are looking for

30% of online shoppers leave when they can’t find the item they are looking for within the first search. Increase retention, time spent on the website and overall revenue through powerful search and filters that deliver personalized recommendations in real time!

"MadeiraMadeira unlocked 27% additional revenues in less than a year after replacing Chaordic/Linx with Jewel ML, while reducing their overall cost by 80%."

Full case study

Zero code implementation:
A single tag and we’ll take care of the rest.

Focus on your e-commerce business and not implementing and maintaining personalization. You already have enough going on!

No-code implementation: A single tag and we’ll take care of the rest.
With 30 minutes of work, E-commerce business can reap the benefits of true Machine Learning powered product recommendations that allow teams to focus on other priorities!
No maintenance required… ever! Jewel ML handles all maintenance and engineering
Integrates with your favorite Analytics and A/B test tools, across ALL your channels.
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"MadeiraMadeira unlocked 27% additional revenues in less than a year after replacing Chaordic/Linx with Jewel ML, while reducing their overall cost by 80%."

With many millions of products and visitors, MadeiraMadeira trusts Jewel ML with billions of personalized recommendations per day.

"Jewel was implemented on Colcci's site in less than an hour, purely by adding a single tag to the site. The switch from SmartHint resulted in 25% additional revenue immediately."

Fashion meets recommendations, as Colcci gains 25% in additional revenue, covering a year of Jewel’s cost in just the first month after going live.

"Reduction of Bounce and Exit is important because we spend a great deal on acquiring traffic, we obviously don't want them to leave without browsing our full offering!"

How AMC Textil, one of the largest Fashion Brands in Latin America, added 20% revenue in less than one month!

Man + Machine means the Best of Both Worlds:

ML powered models adapt to changing customer behaviour in real-time, while human experts continuously enhance the performance of the models with the latest findings from industry and research.
All models are rolled-out periodically and safely in the backend, and you have full and final control of how and what is displayed, always!

Real-world Results

Revenue

21%

average lift by end of second year

Return on Investment

720%

return on investment by end of the first year.

Time to Revenue

6.7%

increase in revenue within the first 30 days of using Jewel ML.

Due to Jewel’s no-code implementation, see the results of personalized recommendations within the first month of utilizing Jewel ML.

Get started
with Jewel ML

See why the Largest Ecommerce platforms in the world use Jewel ML to unlock 30%+ revenue on their sites.
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