m2hycon - let's do data science
Recom­men­da­tion System

Recom­mend what really fits - indivi­du­ally, context-related, perfor­mant

Recom­men­da­tion system: under­stand custo­mers, generate relevance, increase sales

Recom­men­da­tions are successful when they fit. Our solution for recom­men­da­tion systems analyzes click behavior, purchase history, interests, channels and contex­tual data in order to make indivi­dual recom­men­da­tions – automa­ti­cally, in real time and across all channels.

Whether in e-commerce, customer portals, CRM or B2B confi­gu­ra­tors: with our recom­men­da­tion techno­logy, you can suggest the right product at the right time for the right customer – and thus increase conver­sion, basket size and customer satis­fac­tion.

More relevance, better user experi­ences, more sales

Recom­men­da­tion System – Your solution for intel­li­gent product recom­men­da­tions.

Trans­form data into perso­na­lized inter­ac­tions – automated, precise, scalable.

AI-based recom­men­da­tion systems

Our algorithms combine colla­bo­ra­tive filte­ring, content-based models and hybrid approa­ches - depen­ding on the use case.

Behavior-based & contex­tual analysis

Recom­men­da­tions are based on user behavior, session data, purchase history, seaso­na­lity and target group affilia­tion.

Real-time playout across all channels

The engine delivers recom­men­da­tions in online stores, apps, newslet­ters, chatbots or customer portals - live & perso­na­lized.

Integra­tion in commerce, CRM and content systems

Open APIs enable simple connec­tion to your system landscape - for maximum impact with minimum effort.

At a glance

Your advan­tages with a recom­men­da­tion system

Increase in sales

Increase conver­sion rates, shopping cart size and repeat purchases with precise recom­men­da­tions.

Perso­na­liza­tion on a new level

Offer every user relevant content – instead of generic product sugges­tions.

Increase customer satis­fac­tion & engage­ment

Relevant recom­men­da­tions improve the user experi­ence – and reduce bounce rates.

Campaign automa­tion & cross-selling

Control recom­men­da­tions automa­ti­cally – e.g. for up-selling or cross-selling, alter­na­tive offers or utiliza­tion of remai­ning stock.

Scala­bi­lity & perfor­mance

Whether 100 or 10 million users – our systems scale and deliver with milli­se­cond latency.

Support

How we support you with the intro­duc­tion of your recom­men­da­tion system

Data analysis & use case scoping

We analyze your usage data, product data and goals - and identify the most valuable appli­ca­tion scena­rios.

Interested?

Let us check together which recom­men­da­tion approach is suitable for your platform.
Request now

Model training & A/B valida­tion

Our models are indivi­du­ally trained on your data - inclu­ding A/B tests to safeguard perfor­mance.

Curious?

Start with an MVP for one segment or channel - and scale up step by step.
Make an appoint­ment

Integra­tion & real-time provi­sion

We integrate the Recom­men­da­tion Engine into your systems via API, file import or embedded code.

Convinced?

Live playout within a few weeks - inclu­ding KPI tracking & reporting.
Get in touch with us

Strategic develo­p­ment & gover­nance

We support you in the conti­nuous mainten­ance, optimiza­tion and strategic manage­ment of your recom­men­da­tion logic.

Find out more?

Turn content & commerce into experi­ences - with perso­na­lized recom­men­da­tions.
To the project inquiry
Project request

Every recom­men­da­tion counts – if it fits.

With an intel­li­gent recom­men­da­tion system, you can create more sales, more relevance and more customer proxi­mity. Get a non-binding consul­ta­tion now!

m2hycon - Michael Mederer

Dr. Michael Mederer

Chief Execu­tive Officer

Contact us:

Dr. Michael Mederer
Chief Execu­tive Officer
ed.no1768384957cyh2m1768384957@mm1768384957
+49 (0) 40 – 369 397 93

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Projektanfrage

Vielen Dank für Ihr Interesse an den Leistungen von m²hycon. Wir freuen uns sehr, von Ihrem Projekt zu erfahren und legen großen Wert darauf, Sie ausführlich zu beraten.

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Project request

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