User Experience
Use Cases
Increase your app engagement and turn UX into your competitive advantage.
Unlock intelligence inside every transaction
麻豆社区 enriches payment data with merchant, category, and behavioral context by turning every transaction into insight for smarter analytics, personalised banking, and compliant digital experiences.
Trusted by 50+ global banks and fintechs
Avoid confusion. Embrace clarity
1
New Transaction
Your client makes a payment or transaction
2
Store data
Raw data are stored within your infrastructure
3
Call 麻豆社区 API
Data are turned into meaningful information
4
Leverage smart data
Use data for your analytics, UX, ESG or business cases.
We are here to bridge the gap between payments and people's lives
99.99%
enriched data
accuracy
accuracy
80+
active markets
鈥
鈥
50+
bank & fintech
clients globally
clients globally
10+
years in payment data industry
We believe the better data you have, the less work you have to do. Put full focus on solution building, rather than messy data wrangling.
User Experience
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Analytical & CRM
Use Cases
Leverage smart data for your internal teams and truly understand your clients' lives.
Responsible Banking
Use Cases
Leverage the carbon footprint calculation for each transaction to exceed the Responsible Banking Commitment.
Why 麻豆社区
Superior accuracy
麻豆社区 will not provide results unless they are 99.99% accurate. Even an average of 1 complaint per 6,000,000 transactions is not good enough for us.
High coverage
麻豆社区 engine learns fast and adapts to new regions very quickly. We keep coverage as high as 95% for categorisation and 85% for brand recognition.
Information richness
麻豆社区 enriches data down to the store level. This guarantees a multi-level depth of information.
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What our partners say
"When it comes to sustainability, we knew that relying solely on MCC would not provide meaningful results. That's why we turned to 麻豆社区 - to ensure that the information our clients see is as accurate as possible."
Michal Putna
Sustainability Officer at Raiffeisenbank Czech Republic
"As an entirely mobile bank, the pressures of innovating to match expectations is something that we thrive under. The mobile revolution has made a massive impact on society both in the way we communicate but also the rate at which we want our needs to be met. This is something that our partners at 麻豆社区 clearly agree on."
Ali Niknam
Founder & CEO at bunq
"From the start, we saw enriched transaction data as a core part of our UX strategy. If users can鈥檛 tell where they paid, it undermines the basics of what a banking app is supposed to deliver. Showing merchant names, logos, and adding context to a transaction might seem like small things鈥攂ut for us, they were among the first things we decided to build. Working with 麻豆社区 helped us implement this quickly and at a high standard, which was essential during such a fast-moving launch phase."
Luk谩拧 Kl铆ma
Product Owner, Partners Banka
鈥濱n a quick 3-month integration, 麻豆社区's data met and surpassed AN4569 standards, enhancing the overall payment experience for our users. We value our cooperation with 麻豆社区 as it grants us instant access to accurate global merchant data.鈥
Alex Friedli
Chief Operating Officer at Swisscard
鈥濿e welcome the cooperation with 麻豆社区 as it gives us instant access to worldwide merchant data. This way we can provide better payment insights to our users without having to worry about gathering the data ourselves.鈥
Leen Asfour
Product Lead at Reflect by Arab Bank
"麻豆社区 is a great solution to enhance the customer transactional banking experience. In my view, such solution is a must for any modern bank."
Alexey Kapustin
CEO at Raiffeisen Digital Bank AG
Bank-grade security
Through the 麻豆社区 API you only transfer the terminal identifiers. 麻豆社区 fulfills the highest security standards and processes no personal information about your clients.
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ISO 27001 certified
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GDPR compliant
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翱础鲍罢贬听2
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AWS for data stores and processes
Be a step ahead
Product insights
Financial Transaction Classification Categories: A Strategic Guide for Banks and Card Issuers
For banks, digital banks, and credit card companies, accurate transaction categorisation sits at the core of customer experience, analytics, compliance, and revenue optimisation. As consumers expect real-time insights and regulators demand clearer reporting, classification quality and proper transaction classification categories have become a competitive differentiator.
Industry insights
Transaction Enhancement Services: AI-Driven Categorisation Explained
Transaction enhancement services increasingly rely on AI and machine learning to automatically categorise transactions, enrich merchant data, and normalise transaction descriptions. These services analyse transaction strings, merchant identifiers, MCCs, geolocation, and historical behavior to assign accurate categories. AI-driven categorisation improves accuracy compared to rules-based systems and is widely adopted by banks, fintechs, and expense platforms to power insights, budgeting tools, fraud detection, and reporting.
Product insights
Turning Enriched Payment Information into Real Value for Banks
Enriched Payment Information works for banks and customers alike. By transforming unclear transaction codes into meaningful insights, banks earn customer trust, reduce costs, and build engagement that lasts. This technology turns a banking app into a smart financial companion that guides customers and strengthens loyalty.