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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Bloomberg BMatch Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Bank of Kenya Banking and Financial Services 1356 $131M Kenya Bloomberg Bloomberg BMatch Trading Platform 2024 n/a
In 2024, Bank of Kenya launched Bloomberg BMatch, deploying Bloomberg BMatch in the Trading Platform category to introduce an electronic matching solution for the interbank foreign exchange market. The deployment targeted USD/KES spot trading and positioned the application as the central matching layer for interbank FX execution. The implementation centers on Bloomberg BMatch capabilities, specifically the electronic matching engine and consolidated trade reporting modules to capture executed USD/KES spot transactions. Configuration emphasized automated trade capture and centralized trade statistics, enabling real time trade visibility and standardized execution workflows that align with common Trading Platform functional terminology. Deployment integrated Bloomberg BMatch with banks middle and back-office systems to support trade confirmations, settlement instruction flows, and post trade reconciliation, ensuring operational continuity between front office FX execution and downstream treasury and settlement processes. Operational scope covers interbank market participants in the Kenyan FX market and the platform directly impacts market operations, treasury desks, payments processing, and settlement functions. Governance was structured to provide consolidated trade statistics for market oversight, enabling Bank of Kenya market surveillance and regulatory monitoring of USD/KES activity. The implementation was explicitly aimed at increasing transparency, liquidity and efficiency in the Kenyan FX market and the Bloomberg BMatch rollout provides a unified reporting feed to support ongoing market oversight.
Central Bank of Nigeria Banking and Financial Services 2000 $500M Nigeria Bloomberg Bloomberg BMatch Trading Platform 2024 n/a
In 2024 the Central Bank of Nigeria implemented Bloomberg BMatch as the electronic matching system for interbank USD/NGN spot trading. Bloomberg BMatch is deployed as a Trading Platform through Bloomberg FXGO to support price discovery and market surveillance across Nigeria's interbank foreign exchange market. The deployment centered on the platform's order matching engine and consolidated order book capabilities, with configuration for spot USD/NGN workflows. Functional capabilities implemented include electronic trade matching, time stamped trade reporting, audit trail retention, role based access controls, and market surveillance tooling to flag anomalous activity. Integration architecture leverages Bloomberg FXGO connectivity to link the BMatch matching engine with participating bank dealing desks and the Central Bank's market operations teams. Operational coverage targets interbank FX trading activity, with direct use by FX dealing desks and continuous monitoring by the Central Bank's surveillance and market oversight units. Governance was framed around enhanced oversight, with workflow changes to centralize market monitoring and retain comprehensive trade records for supervision. The program was positioned to improve transparency and liquidity in Nigeria's FX markets and to provide the Central Bank of Nigeria with expanded oversight functionality for market monitoring.
Central Bank of Sri Lanka Banking and Financial Services 3000 $400M Sri Lanka Bloomberg Bloomberg BMatch Trading Platform 2025 n/a
In 2025 the Central Bank of Sri Lanka selected Bloomberg BMatch, a Trading Platform, to operate an anonymous central limit order book for USD/LKR spot trading and to integrate with participant back-office systems. The decision was part of a Central Bank initiative to professionalize electronic interbank FX trading and provide enhanced oversight of the domestic FX market. Bloomberg BMatch was implemented to provide an anonymous matching layer and order book functionality consistent with Trading Platform capabilities, including a deterministic matching engine, standard order types, and trade reporting that feeds into downstream post-trade workflows. The deployment emphasized integration points for participant back-office systems to receive fills, confirmations, and settlement instructions, aligning front-office execution with participant reconciliation and settlement processes. The electronic matching system is operated by Tradebook Singapore, establishing a centralized operational model for marketplace matching while participant firms connect via secure message level interfaces. Deployment architecture focused on segregating the anonymous central limit order book from participant identification layers, enabling market-wide execution while preserving anonymized order flow for price discovery. Governance was driven by the Central Bank of Sri Lanka, with the platform scoped to the Sri Lankan foreign exchange market and interbank USD/LKR spot trading participants. The stated outcomes of the Bloomberg BMatch implementation included boosting price discovery, improving transparency and liquidity in the domestic FX market, and providing the central bank enhanced oversight capabilities.
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Buyer Intent: Companies Evaluating Bloomberg BMatch

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Bloomberg BMatch. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Bloomberg BMatch for Trading Platform include:

  1. National Bank of Georgia, a Georgia based Banking and Financial Services organization with 671 Employees

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