name

lastname

email

industry

message

checkbox-newsletter

The administrator of your personal data is SYNERISE S.A. with its registered office in Kraków at ul. Lubostroń 1, 30-383 Kraków

Synerise S.A will process the data provided by you for the purposes of handling your inquiry and for marketing purposes, including profiling.Your personal data may also be processed for statistical and analytical purposes, as well as for possible claims or defense against claims.You have the right to object to the processing of your data for marketing purposes. More information on the processing of personal data, including your rights, can be found in the <a href="/legal/privacy-policy">Privacy Policy</a>.

Request a demo

Request a demo

logo.svg

We have recently published <a href="https://arxiv.org/pdf/2003.04094.pdf" target="_blank" rel="noopener noreferrer nofollow">paper</a> about fashion retrieval. During our research ‪we achieved 54.8 mAP, 72.9 Acc@20 on Street2Shop and 47.3 Acc@1, 79.0 Acc@20 on DeepFashion dataset‬ - establishing new state-of-the-art results for both. We would like to share with You some ideas directly from our AI Lab. &nbsp;In the last 3 years, there's been a flood of research papers in AI and Machine Learning published by Chinese universities and companies. Strong incentives from government and industry, combined with the challenges of scale (almost 1.4Bn citizens) push the frontier of research in China forward at an impressive pace.Although the topics are quite diverse, there is a category of papers which are overrepresented when compared to western research institutions' output. The papers cover various topics, but their possible applications are common: mass surveillance. [10],[9],[2],[6],[1],[5],[8]One of the most popular applications of AI, is that of Person Re-Identification - which is linking the photos/videos from CCTV cameras to identities of citizens. As you can imagine, the task is quite challenging, due to various factors:<ul><li>cameras have different quality</li><li>angles, lighting &amp; visibility conditions vary</li><li>people can be partially occluded</li><li>people change clothes, put on hats, can wear sunglasses etc.</li><li>people travel between different areas, so location information is of limited usability</li><li>human body is capable of many different poses and movements</li><li>much more variety is present in the real-world compared to synthetic datasets.</li></ul>While tracking the progress made by China is scary, yet fascinating, can their state-sponsored research be re-purposed to directly benefit the end-user?In our paper [7] we propose an approach adapted from mass surveillance, which with some modifications, outperforms all prior research in fashion visual search.The problem of fashion retrieval / visual search sounds simple - given a user-made photo of a clothing item, automatically pick most similar clothes from a store's assortment. The user may take a photo of his/her friend, a photo of an item in a store, or upload a photo found in the Internet.<figure class="image"><img src="/uploads/92ee67516f1146168fea60107f1c34a0.jpeg"></figure>&nbsp;<figure class="image"><img src="/uploads/5793287d0e2a4bae8a40682d0bbafcb2.png"></figure>Intuitively, representation learning should "distill the essence of visual identity and similarity" of objects, and disregard all modifications &amp; transformations of input, which do not change similarity or identity.Some examples of transformations which do not change visual identity/similarity:<ul><li>facial expressions - while they can deform the face, they do not change a person's identity</li><li>clothes deformability - a crumpled sweater is still the same sweater</li><li>lighting, brightness, contrast, etc. - objects remain the same, while they look different</li><li>view angles, rotations, focal length, image resolution - they change the photo, but have no effect on the objects themselves</li></ul><figure class="image"><img src="/uploads/8ae1a1e73de046cdb5dce5e855441abe.png"><figcaption>Source: BU-3DFE dataset facial expressions</figcaption></figure>There are a lot more real-world transformations which can confuse ML models, but are naturally disregarded by people when evaluating "identity" or "similarity", e.g. weather conditions, mechanical transformations etc. Visual representation learning aims to be resistant to these transformations.<figure class="image"><img src="/uploads/4a37856354f74898924e4da893425c42.png"></figure>When it comes to fashion, we're interested in vector representations of clothes, where the same "fashion item" gets the same or similar vectors, regardless of where, when and how the photo was taken. In contrast, when it comes to mass surveillance, we'd be interested in vector representations of people, where the same person get the same or similar vectors, regardless of where, when and how the photo was taken, what the person was wearing and what pose they were photographed in.The two use-cases sound so much alike, that it's quite surprising that very little intellectual cross-pollination has happened between these areas until now.<figure class="image"><img src="/uploads/1fdf689c8630407f8b9518e8bba76c8e.png"></figure><figure class="image"><img src="/uploads/d3cf849c83bd444c9351600402016bb8.png"></figure>In our paper [7], we identify the similarities and differences between fashion and mass surveillance in depth. Then we successfully transfer latest research from Person Re-Identification to fashion retrieval for visual search.While the Person ReID models require some adjustments to work well on fashion datasets, the final results are quite extraordinary. Our best approach outperforms all prior published research in fashion retrieval and establishes new state-of-the art results on two commonly used datasets - DeepFashion and Street2Shop. The best model described in the paper is a foundation of our Visual Search product at Synerise, trained on our massive proprietary datasets.<figure class="image"><img src="/uploads/cde7e5214f1c4ba7861baee6a9ec6b68.png"></figure><figure class="image"><img src="/uploads/54c57fc3db5046e79c3d2fcd1649a23f.png"></figure>What's especially worth noting, is that our strong baseline model is much simpler than some of the recent fashion-specific approaches. The simplicity is apparent with regard to architecture, training procedure and computational resources required.This should serve as a reminder that good foundations, proper abstractions and picking the right problem to solve are often key to unlocking significant progress in research. As unlikely as it sounds, fashion and surveillance have a lot in common when thinking in the framework of representation learning.Here are some example results of our best model:<figure class="image"><img src="/uploads/57b12ba51c29453ea8be59a3150d2cca.png"></figure><figure class="image"><img src="/uploads/14f26899d7854cc0acef6c2da7829a6c.png"></figure><figure class="image"><img src="/uploads/3a15b5daf21840d39ada7f9e9eae3e2d.png"></figure><figure class="image"><img src="/uploads/454482facc9a42e3adb645e0ddd9f5e2.png"></figure>For more details &amp; nice pictures check out our paper with the appendix: [7].Jacek Dąbrowski / Jarek Krolewski[1] Dong, C. et al. 2019. DeepMEF: A Deep Model Ensemble Framework for Video Based Multi-modal Person Identification. Proceedings of the 27th ACM International Conference on Multimedia (Nice, France, Oct. 2019), 2531–2534.[2] Guo, Y. et al. 2019. Multi-Scale Convolutional Recurrent Neural Network with Ensemble Method for Weakly Labeled Sound Event Detection. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (Sep. 2019), 1–5.[3] Kuang, Z. et al. 2019. Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. arXiv:1908.11754 [cs]. (Aug. 2019).[4] Kucer, M. and Murray, N. 2019. A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. CVPR Workshops. 10.[5] Nie, J. et al. 2019. Understanding personality of portrait by social embedding visual features. Multimedia Tools and Applications. 78, 1 (Jan. 2019), 727–746.[6] Song, W. et al. 2019. Partial Attribute-Driven Video Person Re-Identification. 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (Nov. 2019), 539–546.[7] Wieczorek, M. et al. 2020. A Strong Baseline for Fashion Retrieval with Person Re-Identification Models. arXiv:2003.04094 [cs]. (Mar. 2020).[8] Wu, L. et al. 2019. A Neural Influence Diffusion Model for Social Recommendation. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (Paris, France, Jul. 2019), 235–244.[9] Zhang, X. et al. 2019. TVV: Real-Time Visual Identity and Tracking with Edge Computing. Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks (Beijing, China, Mar. 2019), 419–424.[10] Zhang, Z. et al. 2018. Billion-Scale Network Embedding with Iterative Random Projection. 2018 IEEE International Conference on Data Mining (ICDM) (Nov. 2018), 787–796.

E3E5B3C1-7AAB-436B-9B5C-0E1C4F0A9BDE.jpeg

Fashion retrieval is the challenging task of finding an exact match for fashion items contained within an image. Difficulties arise from the fine-grained nature of clothing items, very large intra-class and inter-class variance. Additionally, query and source images for the task usually come from different domains - street photos and catalogue photos respectively. Due to these differences, a significant gap in quality, lighting, contrast, background clutter and item presentation exists between domains. As a result, fashion retrieval is an active field of research both in academia and the industry.  Inspired by recent advancements in Person Re-Identification research, we adapt leading ReID models to be used in fashion retrieval tasks. We introduce a simple baseline model for fashion retrieval, significantly outperforming previous state-of-the-art results despite a much simpler architecture. We conduct in-depth experiments on Street2Shop and DeepFashion datasets and validate our results. Finally, we propose a cross-domain (cross-dataset) evaluation method to test the robustness of fashion retrieval models.

A Strong Baseline for Fashion Retrieval with Person Re-Identification Models

17654399-6F2F-4A93-95DA-096E626CC4D1.jpeg

Our Latest Scientific Paper With State-of-the-art results

IMG_5646_1.jpg

orange-logo.png

Synerise cooperates with Orange Polska, the market leader in mobile telecommunications, internet and data transmission, by supporting their digital transformation and providing customers with the best experience of using modern technologies. Synerise solutions help Orange acquire and retain satisfied customers, driving an increase in the share of digital channels in overall sales.

Building better customer experience and growth in e-commerce

Case study

ic_event_note_24px.svg

At Synerise we've mastered remote work as we've always been open to it and more than 10% of our staff is 100% remote on a daily basis, reaching us from different parts of the world through Microsoft Teams, Slack and other platforms.&nbsp;What's more, the team employed on site (in the offices in Warsaw, Krakow, Poznan) has always had the possibility of unlimited remote work. All employees had to do was tell their team leader in advance and let the rest of the team know before that they were planning a home office on a given day. In this way, each of our employees has experience in working from outside the office.&nbsp;However, even though we all know how to handle remote work, the current scenario is brand new to us. More than 220 of us are working from homes right now, and we have to make sure we’re doing it the best way possible.See what we do to keep motivation up!&nbsp;<h3>How do we deal with remote work in Synerise? &nbsp;</h3>We have decided to organize mandatory updates from each department daily to keep our employees informed and motivated. We present use cases, new implementations, client stories and inspirations that everyone can follow. This solution not only affects greater team visibility, but also helps us all to stay in sync - and helps us to learn something new about the company and Synerise capabilities.&nbsp;Each day from Monday to Friday, we meet virtually on Teams to discuss the most important things and to listen to each other. For 30 minutes, every member of the team has a chance to participate in the most exciting things we do as a company each day. &nbsp;<figure class="image"><img src="/uploads/bd1bc9a3c1bc42b6b19dfb5c292359d7.jpeg"><figcaption>An example of remote work at&nbsp;Synerise&nbsp;- a daily 30-minute inspiration call with dozens of people from across the company joining in&nbsp;</figcaption></figure>Such summaries are extremely valuable since we often tend to focus on the work of our own department. Thanks to these calls, we have the opportunity to look at the work of others, share ideas, be up to date and eventually even work out new things.&nbsp;In addition, each business team (in IT we do it always!), has implemented daily scrum sessions. We gather online at 11:00 to talk about current tasks and prioritization.&nbsp;But what, apart from group online meetings, can we do to mobilize ourselves to be even more productive?&nbsp;<h3>Ways to Defeat a Lack of Motivation&nbsp;</h3>Have you ever wondered which job levels work remotely the most frequently? &nbsp;According to data from <a href="https://www.owllabs.com/hubfs/Owl%20Labs%202019%20State%20of%20Remote%20Work%20Report%20PDF.pdf" target="_blank" rel="noopener noreferrer nofollow">Owl Labs’ 2019 State of Remote Work</a> report, jobs with the greatest percentage of remote workers are people hired at C-Level. &nbsp;Our current situation is giving everyone a chance to see what it’s like to be a senior manager. &nbsp;However, data gathered in this report also shows some doubts about “home offices”. It shows that managers whose employees work remotely usually face the following concerns:&nbsp;<figure class="image"><img src="/uploads/1af89c6e9be346a3b1e5b1de4db1afa6.jpg"></figure>Let's consider how to facilitate your daily work from home and be our own “remote manager”, encouraging us to not be distracted:&nbsp;1. Set a place to work - Of course, this does not have to be an office or separate work room; all you need is a neat desk or table without too much clutter. Most people prefer not to work on the couch to avoid the temptation to be too lazy. &nbsp;However, if this is your favorite place, allowing you to relax and focus, feel free to work here too. Whatever works, right? 😊&nbsp;2. Work out your daily routine - Do not work non-stop, for 24 hours, on weekends. We know that the laptop is tempting and so is working "after hours" instead of when you should be available to the rest of the team.&nbsp;Divide your day into working hours and non-working hours that you will devote to your family or hobby (of course, a hobby realized in this case from home). Try to start and finish work at the same hours every day; also avoid eating dinner in front of the computer.&nbsp;Also, try to dress as for work. Your morning should be like going to the office: eat breakfast, shower, get dressed normally, change position at work as you normally would. You can start at your desk, move to the kitchen and back again. The bedroom is never a good option. Take breaks for family talks — after all, in the office you also have time for small talk with your colleagues.&nbsp;3. Focus on clear communication – During our everyday work it's much easier for us to make contact with a colleague sitting at the desk next to us and talk about whatever’s keeping you busy at the time. Even if you can’t do it right away, there’s always a coffee break not too far away.&nbsp;At the moment, however, we do not have such an opportunity, so let's make sure that the emails we send and other forms of discussing projects are clear and specific.&nbsp;<h3>Tips and Tricks from Synerise Collegues&nbsp;</h3>&nbsp;These tips are just the basics. If you are interested in some more clever hacks for improving your working comfort and efficiency, check what our coworkers say:&nbsp;<figure class="image"><img src="/uploads/afbcba0b52854fa5b874aeb964985d5b.jpg"></figure><h3>Summing Up&nbsp;</h3>Take care of yourself but pay attention to the quality of your work. Remote work is the future standard so let's all try to learn something from our current situation.&nbsp;We hope that our advice will prove to be helpful and the transition to remote work, even for long periods, will be trouble-free and rewarding. &nbsp;

At Synerise we've mastered remote work as we've always been open to it and more than 10% of our staff is 100% remote on a daily basis, reaching us from different parts of the world through Microsoft Teams, Slack and other platforms.&nbsp;What's more, the team employed on site (in the offices in Warsaw, Krakow, Poznan) has always had the possibility of unlimited remote work. All employees had to do was tell their team leader in advance and let the rest of the team know before that they were planning a home office on a given day. In this way, each of our employees has experience in working from outside the office.&nbsp;However, even though we all know how to handle remote work, the current scenario is brand new to us. More than 220 of us are working from homes right now, and we have to make sure we’re doing it the best way possible.See what we do to keep motivation up!&nbsp;<h3>How do we deal with remote work in Synerise? &nbsp;</h3>We have decided to organize mandatory updates from each department daily to keep our employees informed and motivated. We present use cases, new implementations, client stories and inspirations that everyone can follow. This solution not only affects greater team visibility, but also helps us all to stay in sync - and helps us to learn something new about the company and Synerise capabilities.&nbsp;Each day from Monday to Friday, we meet virtually on Teams to discuss the most important things and to listen to each other. For 30 minutes, every member of the team has a chance to participate in the most exciting things we do as a company each day. &nbsp;<figure class="image"><img src="/uploads/bd1bc9a3c1bc42b6b19dfb5c292359d7.jpeg"></figure>An example of remote work at&nbsp;Synerise&nbsp;- a daily 30-minute inspiration call with dozens of people from across the company joining in&nbsp;Such summaries are extremely valuable since we often tend to focus on the work of our own department. Thanks to these calls, we have the opportunity to look at the work of others, share ideas, be up to date and eventually even work out new things.&nbsp;In addition, each business team (in IT we do it always!), has implemented daily scrum sessions. We gather online at 11:00 to talk about current tasks and prioritization.&nbsp;But what, apart from group online meetings, can we do to mobilize ourselves to be even more productive?&nbsp;<h3>Ways to Defeat a Lack of Motivation&nbsp;</h3>Have you ever wondered which job levels work remotely the most frequently? &nbsp;According to data from <a href="https://www.owllabs.com/hubfs/Owl%20Labs%202019%20State%20of%20Remote%20Work%20Report%20PDF.pdf">Owl Labs’ 2019 State of Remote Work</a> report, jobs with the greatest percentage of remote workers are people hired at C-Level. &nbsp;Our current situation is giving everyone a chance to see what it’s like to be a senior manager. &nbsp;However, data gathered in this report also shows some doubts about “home offices”. It shows that managers whose employees work remotely usually face the following concerns:&nbsp;<figure class="image"><img src="/uploads/1af89c6e9be346a3b1e5b1de4db1afa6.jpg"></figure>Let's consider how to facilitate your daily work from home and be our own “remote manager”, encouraging us to not be distracted:&nbsp;1. Set a place to work - Of course, this does not have to be an office or separate work room; all you need is a neat desk or table without too much clutter. Most people prefer not to work on the couch to avoid the temptation to be too lazy. &nbsp;However, if this is your favorite place, allowing you to relax and focus, feel free to work here too. Whatever works, right? 😊&nbsp;2. Work out your daily routine - Do not work non-stop, for 24 hours, on weekends. We know that the laptop is tempting and so is working "after hours" instead of when you should be available to the rest of the team.&nbsp;Divide your day into working hours and non-working hours that you will devote to your family or hobby (of course, a hobby realized in this case from home). Try to start and finish work at the same hours every day; also avoid eating dinner in front of the computer.&nbsp;Also, try to dress as for work. Your morning should be like going to the office: eat breakfast, shower, get dressed normally, change position at work as you normally would. You can start at your desk, move to the kitchen and back again. The bedroom is never a good option. Take breaks for family talks — after all, in the office you also have time for small talk with your colleagues.&nbsp;3. Focus on clear communication – During our everyday work it's much easier for us to make contact with a colleague sitting at the desk next to us and talk about whatever’s keeping you busy at the time. Even if you can’t do it right away, there’s always a coffee break not too far away.&nbsp;At the moment, however, we do not have such an opportunity, so let's make sure that the emails we send and other forms of discussing projects are clear and specific.&nbsp;<h3>Tips and Tricks from Synerise Collegues&nbsp;</h3>&nbsp;These tips are just the basics. If you are interested in some more clever hacks for improving your working comfort and efficiency, check what our coworkers say:&nbsp;<figure class="image"><img src="/uploads/afbcba0b52854fa5b874aeb964985d5b.jpg"></figure><h3>Summing Up&nbsp;</h3>Take care of yourself but pay attention to the quality of your work. Remote work is the future standard so let's all try to learn something from our current situation.&nbsp;We hope that our advice will prove to be helpful and the transition to remote work, even for long periods, will be trouble-free and rewarding. &nbsp;

Blogpost-Cover_Remote-Work.png

Due to the current situation related to coronavirus, on 5th of March, as one of the first companies in Poland, we have decided to arrange remote work for all employees.   We believe in the effectiveness and social responsibility of this change but it’s not a radical departure from our previous day-to-day activities. Lots of Synerise People work remotely every day since we cooperate in various offices all over the world.   However, we know that working from home, especially at the scale of the whole company, can be a real challenge. That’s why we’ve decided to share our knowledge about good remote work practices. 

How We Deal With Remote Work at Synerise

On our blog

ic_autorenew_24px.svg

ic_android_24px.svg

ic_all_out_24px.svg

ic_accessibility_24px.svg

ic_book_24px.svg

Join community of winning companies

Partnership program

ic_golf_course_24px.svg

ic_pool_24px.svg

ic_spa_24px.svg

ic_smoke_free_24px.svg

Synerise

Trust

Awards

Product - Customer Data Platform

Industries - Telecommunications

Team

About - Mission

Career form 

Careers

Partners

Contact us

Pricing

Terms of Service

Privacy Policy

Cookie Policy

Code of Conduct

Documents

New partner submission

Success Form

Product - Hyper Personalization

Product - Workflow automation

Product - Behavioral Intelligence & Analytics

Product - Marketing platform

Product - Loyalty platform

Industries - Retail

Industries - Automotive

Industries - Finance

Industries - E-commerce

Selected customers

May we inspire you?

Webinar registration confirmed

Webinar  registration

The Right Customer, Time and Place–What Is Omnichannel Marketing

How Segmentation Can Boost Your Profits

3 Trends in Mobile Marketing That Will Support Your Sales

6 Questions to Dispel Your Doubts About Beacons

4 Methods to Implement Proximity Marketing in Sales

Take 5 Steps to Implement Marketing Automation in Your Business

Cohort Analysis in Marketing – how to use it

How to Calculate CLV Index: Discussion of Historical Methods

How to Design a Landing Page to Increase the Customer Database

Storytelling and Marketing Automation - the Perfect Combination

10 Solutions for Your Online Store That Will Increase Sales

Marketing Automation and Dynamic Content – an Effective Duo!

Why Mobile Marketing Is a Critical Component of Business Success

Data Mining - How Market Basket Analysis Can Help Increase Sales

3 Elements to Consider in Your Omnichannel Strategy

The Basics of Machine Learning: Marketers and Magic Numbers

What Dogs and Marketing Intelligence Have in Common

Video – How to Get the Most out of the Most Effective Marketing Tool

How to Connect Inbound and Outbound Marketing to Boost Customer Satisfaction

How to Make Web Push Notifications Work for You

11 Tips How to Analyze Clients' Data properly

Customer Behavior – How to Know Them Better

Why You Can’t Miss the Artificial Intelligence Hype Train

Synerise Hits the Jackpot at CES 2018 in Las Vegas!

Synerise <3 Futurecom

Why Multichannel Marketing Is Not Enough Anymore

When to Implement CRM and Why It’s Right Now

Why Marketing Cloud Rules the Digital Business World

Why You Should Track Net Promoter Score

Marketing Automation Benefits and Challenges - All You Need to Know

How to Choose and Track the Right KPIs in Marketing

10 Steps to Turn Expert Knowledge Into Brand Content

How to Design a Spam-Proof Email Marketing Campaign

Start All Your Campaigns with These Marketing Automation Best Practices

Content Writing Hacks Stolen from a Psychology Class

Lead Management Finally Explained in One Blog Post 

The Perfectionist’s Guide to Blog Writing: Topics and Keywords

Brand Building Mistakes: Examples to Avoid

Neuromarketing Techniques Will Boost Your Social Media! See How

Artificial Intelligence Software: Marketers' Intuition Booster

5 Handy Tips for Lead Generation on Your Business Event

14 Hacks for Better Customer Retention Rate

5 Steps to Create Your Perfect Buyer Persona

7 Steps to Convince Management to Invest in Marketing Tools

Neural Networks Inside Out: What Makes Smart Machines Smart

GDPR in E-commerce: the Essentials You Need to Know

Scoring – Find Out If Your Customer Is Ready to Buy

Must-Try Recipes to Win Customer Loyalty

Artificial Intelligence Will Not Replace Marketers - See Why

A/B Tests Uncovered: Your Way to Read Customers’ Minds

Good as New! How to Refresh Old Content

Brand Building Is Fun! 5 Steps to Make a Brand That Rocks

What’s In It For Me - The Ultimate Question to a Marketer

8 Steps to Build a Powerful Customer Database

Technical Glitches That Make Customers Abandon Carts

Email Subject Line: the Secret Agent of Conversion

Designing an E-commerce Website that Drives Conversions

7 Sales Metrics to Optimize for Your E-commerce

5 Ways to Analyze Campaign Metrics in Sales

What Is Agile Marketing and Why You’re Going to Like It

Marketing Email Is Dead... or Long Live Marketing Email!

The Inconvenient Truth Behind Abandoned Carts: the Human Factor 

5 Proximity Marketing Ideas for Seamless Customer Experience

The Perfectionist’s Blog Post Lifecycle: How to Plan and Research Blog Posts

Swan or Spider: What Is a Business Presentation to You

Abandonment Rate Facts and New Insights You Didn’t Know

4 Inspiring Customer Segmentation Examples

11 Tips How to Build Your Personal Brand on LinkedIn

Trick or Click! Don’t Scare Clicks Away With These Monstrous Newsletter Mistakes

5 Steps to Create a Captivating Business Case Study

6 Things You Must Do to Have Loyal Customers

Synerise Business Forecast for 2019: Digital Transformation

Lead Nurturing Campaign Guide: Email, SMS, What Else

Take a Trip to the Future with New Technologies for Retail

Lead Nurturing Tips for Beginners and Pros

Marketing Abbreviations Are Easy! Learn 5 New Ones Now

AdBlock and Banner Blindness Make Your Life Miserable

7 Crucial Details You’re Missing on Your Landing Page

Personalization Case Study: How Lower Discounts Made Higher Profits 

Web Push Notifications - Your Secret Marketing Weapon 

How to Choose a Marketing Automation Tool for Your Business

E-learning Trends: How to Learn Easier and Faster in 2018

Synerise Forecast: Technology Trends to Watch in 2019

Don’t Spray and Pray! Take Advantage of Customer Intelligence in Marketing Automation

Don't Ruin Your Conversion Rate with These 10 UX Mistakes

Offline-Online Integration - the Key to Connect Retail and E-commerce

Facts You Didn't Want to Know About Artificial Intelligence and Writing

Online-offline Integration - Connecting E-commerce to Retail

Effective Ways to Save Abandoned Carts

5 Ways to See If Your E-store's UX Really Works

Lead Generation by Landing Page – The Who, What & Why

Personal Shopping Experience Is What Online Customers Want

How to Stop Losing Money Through On-site Search

The Complete Guide to Launching an Effective LinkedIn Ads Campaign

Forget QR Codes! Check Out Mobile Notifications and More

Blog Writing Tips and Tricks for Perfectionists: Style and Language Hacks

Tips and Tricks for Captivating User Experience in Your E-commerce

4 Reasons Why People Unsubscribe from Your Email List

CLV - How to Calculate and Increase the Key Business Metric

How NLG Supports Marketing

blog-config

Blog

Big Data Technology Warsaw Summit

Euroshop

Data Driven Commerce

6th Retail Leaders Circle Mena Summit

Customer Experience - Choose PARIS Region

Retail Summit 2020 

NRF 2020

pressroom-config

Events

Synerise at CES 2018

No.1 Marketing Cloud at Data Centre World

Synerise among the 30 fastest-growing companies, according to EY

Senior Oracle Executive Joins Synerise

Senior Digital Transformation Executive Joins Synerise

Introducing the brand new Synerise Press Kit

Synerise honored in Microsoft’s Partner of the Year contest

Magdalena Jonczak: from Deloitte to Synerise

Synerise and the Poznan University of Economics working together to offer PhD in Artificial Intelligence

Synerise Wins Awards at Microsoft Inspire, Headed Towards Further Growth

Synerise forays into the Indian Cloud Space

Synerise supports the development of electromobility in Poland

Synerise will invest in the teaching of artificial intelligence for 1500 kindergartens, primary schools and high schools 

Synerise triples number of clients and employees

EY Entrepreneur of the Year 2018: Jarosław Królewski with a special jury award

The largest AI teaching program in Polish schools is launched

Synerise accelerates its global presence with a new office in Dubai

Synerise to present its AIgo-cratic way of growing business and new solutions at Big Data World

News

Press Room