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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Banka Kombetare Tregtare Data, Technology Stack, and Enterprise Applications
ERP Services and Operations
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Pegasystems Legacy Pega Platform Business Process Management ERP Services and Operations n/a 2018 2018
Core Banking ERP Services and Operations 2010 2010
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
B2Metric Legacy B2ML Studio Auto-ML ML and Data Science Platforms AI Development n/a 2023 2023
In 2023, Banka Kombetare Tregtare implemented B2ML Studio Auto-ML to embed AutoML-driven customer journey analytics across marketing and credit functions. The deployment used B2ML Studio Auto-ML in the ML and Data Science Platforms category to operationalize predictive models for churn reduction, micro-segmentation, and loan/NPL scoring at the Albanian retail bank. Implementation centered on automated model pipelines within B2ML Studio Auto-ML, emphasizing automated feature engineering, model selection, and production scoring workflows. Functional modules referenced in the engagement included churn prediction models, micro-segmentation capabilities for targeted marketing, and predictive loan and non-performing loan scoring models delivered as production scoring services. Operational coverage targeted the bank's marketing and credit risk teams, with customer journey analytics informing campaign targeting and credit decisioning processes. Governance practices described included model validation and monitoring processes to manage model lifecycle and to maintain predictive performance within business workflows. Reported outcomes from the B2Metric case study include a 27% reduction in churn and more accurate loan and NPL scoring following the B2ML Studio Auto-ML deployment. The work highlights Banka Kombetare Tregtare B2ML Studio Auto-ML ML and Data Science Platforms alignment with customer lifecycle management and credit risk scoring business functions.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft 365 Collaboration Collaboration n/a 2017 2017
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2017 2017
IT Decision Makers and Key Stakeholders at Banka Kombetare Tregtare
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Banka Kombetare Tregtare Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Banka Kombetare Tregtare Technographics

Banka Kombetare Tregtare is a Banking and Financial Services organization based in Albania, with around 1534 employees and annual revenues of $180.0 million.

Banka Kombetare Tregtare operates a diverse technology stack with applications such as Pega Platform, B2ML Studio Auto-ML and Microsoft 365, covering areas like Business Process Management, ML and Data Science Platforms and Collaboration.

Banka Kombetare Tregtare has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Pegasystems, B2Metric and Microsoft.

Banka Kombetare Tregtare recently adopted applications including B2ML Studio Auto-ML in 2023, Pega Platform in 2018 and Microsoft 365 in 2017, highlighting its ongoing modernization strategy.

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Our research team continuously updates Banka Kombetare Tregtare’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

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