- I’m stuck in the traditional display
- I’m unfamiliar with the tech behind AI and LLMs for recommendation systems
- I feel like I’m missing out on conversion opportunities
- My platform lacks a personalized touch, driving customers away
You Run an Online Platform…
… and you are still displaying the same generic offers to every user. Perhaps, you also need to match users with other users. BUT:
- You don’t know where to start.
- You are not familiar with the recent recommendation technologies using LLMs and vector stores.
- You can not hire a team of 10 people to start learning how to do it.
So, you’re back where you started…and you are losing conversion opportunities every day!
Are You Struggling to Enter the Era of Hyper-Personalization?
Dynamic Personalization…
…to Every User
Let’s skyrocket your performance and enhance your users’ satisfaction with next-gen recommendation systems.
FROM
One-Size-Fits-All Content Display
Poor User Experience
Day & Night struggle to improve user engagement
Missing Cross-selling & Upselling opportunities
Missing the full potential of your online traffic
TO
Online & Real-time recommendations
Recommend products, users, content, visuals, and more!
AI trained on user social content, product descriptions, and interaction data
State-of-the-art LLM integrations
User search: find the best users for a specific offer
+28% REVENUES WITH
PRODUCT RECOMMENDATION
FOR A REWARD PLATFORM
In the reward industry (cashback, play-to-earn), maximizing CTR does not mean maximizing long-term revenue. Our recommendation system optimizes long-term gaming/cashback revenue by leveraging the complex, ongoing interactions of all players with all offers.
More information about the technical approach we implemented:
+266% CTR WITH
VISUAL RECOMMENDATION
FOR A GAMING PLATFORM
For any online game, the visual displayed on a web page significantly impacts the CTR. Tests have shown that CTRs are primarily driven by the content of the image in relation to the gamer’s demographics. Based on this observation, we have developed a recommendation system capable of displaying the best visual to each gamer using user demographics and interaction data.
More information about the technical approach we implemented:
INFLUENCERS RECOMMENDATION FOR BRANDS USING SOCIAL MEDIA
Identifying the most suitable influencers for a brand is a significant issue in influencer marketing. We have developed a recommendation system that uses social data (content posted by influencers) to sift through more than 250,000 top influencers and recommend the ones that are the best match for promoting a brand’s products.
More information about the technical approach we implemented:
MY PUBLIC REVIEWS
ON PLATFORMS
Mehdi did a great job during the whole project and delivered a high quality recommendation engine for our product. He instantly understood our business needs and cleared all of our questions during the planing phase.
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The communication during the whole process was great and every meeting with Mehdi was a pleasure for us. The final outcome of the project surpassed our expectations and already provides high value to our business. We are thankful for the great work and can really recommend Mehdi for AI/ML/Data projects.
26 August 2023
Felix Fischer
Co-Founder of rewards.de
Mehdi was a pleasure to work with. Delivers high quality work and goes above and beyond in his efforts to deliver quality product. He has a strong grasp of AI/NLP as well as next-gen language models. Would highly recommend him for any and all related projects, and I’ll be continuing to work with him in the future.
1 November 2022 – 23 December 2022
Brendan Karp
Founder at Obviant
Mehdi did an amazing job, I couldn’t be happier with the work that he performed. From the start, he went above and beyond, and consistently exceeded my expectations throughout the course of the project. He delivered a product that has made a measurable difference in equipping us with ML/NLP tools that allow us make out data more actionable.
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I highly recommend him to build any startup projects based on machine learning or NLP from scratch. Has a deep knowledge base and execution skills in both spaces.
25 October 2022 – 1 November 2022
Brendan Karp
Founder at Obviant
Mehdi was excellent to work with. I hired him for a task where he would collect, organize, and analyze a large body of text data. He was extremely communicative throughout the process and took the time to understand what I wanted.
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He was responsive to feedback and adjusted the output to meet exactly what I wanted. I am very grateful for his help on this and would definitely work with him again in the future.
7 December 2022 – 14 December 2022
Pr Manav Raj
Assistant Professor at Wharton
After interviewing several contractors for this project, Mehdi was the clear, #1 choice! He is very talented, but also an excellent communicator.
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Mehdi was able to accomplish everything within my initial project, plus we agreed to expand the scope to add-in some additional/improved functionality. I highly recommend Mehdi, and I look forward to working with him again in the future!
25 July 2023 – 3 August 2023
Great communication and responsiveness. Ability to frame the problem clearly and articulate the relevant solutions. Highly recommended.
5 July 2023 – 18 August 2023
Vincent Ghossoub
Founder at NiftyCraft
Mehdi is the best. I will be working with him again. If you get the chance to work with Mehdi, do it!
22 July 2023 – 7 August 2023
Anthony Longo
COO at hoo.be
Mehdi is an excellent Machine Learning engineer. Definitely worth checking out.
24 February 2023 – 3 January 2023
Jordan Millar
CEO at ChekRite
Mehdi is a very knowledgeable and professional machine learning expert. He delivered the project perfect and on time. Mehdi is reliable and a pleasant person to work with. Will definitely hire him again.
Kees Haverkamp
CTO at Yes We Can Clinics
Mehdi is well informed about AI- and more importantly, its practical application in a business environment. Would recommend him to anyone looking for a strategist.
Ken Schmidt
President of Steel In The Air
4 reasons why we should talk now!
We will only proceed if it is useful for your business.
We speak simply: no technical jargon, no buzzwords, no bullshit.
We say what we do.
You do what we say.