BitBag is a software house that provides tailor-made eCommerce platforms with the entire infrastructure - from creating eCommerce platforms through the implementation of PIM and CMS systems to developing custom eCommerce applications, B2B solutions, and migration from other platforms. We are the first company in the world to have grown from Sylius, an enterprise eCommerce framework for tailored solutions built on Symfony. Since 2019, we have been the official Sylius Global Partner. On board, we have 70 qualified developers who have already completed over 150 projects in 30 eCommerce markets. Over the past years, we've released over 39 useful extensions, which have been downloaded over 2 million times.
These badges represent verified expertise within the Sylius ecosystem. They confirm completed certifications, practical knowledge of the platform, and active involvement in the community. Each badge reflects a specific level of experience and contribution related to Sylius development.
Integrate PayU with your Sylius store for reliable, efficient payment processing and seamless checkout.
This plugin allows you to integrate Przelewy24 payments in your Sylius instance.
This plugin is designed for managing and integrating agreement clauses and checkboxes into Sylius-based eCommerce platforms.
This plugin allows AmazonPay payments in the Sylius store and synchronizes the payment state. It is capable of fetching addresses from the Amazon account.
Manage banners in your Sylius store by scheduling time-limited campaigns with localized sections, making it easy to plan and automate marketing in advance.
This plugin allows you to edit email templates from admin panel using all twig features.
Adds a “Related Products” section showing frequently bought items or, if needed, products from the same categories.
BNPParibasPayments Plugin integrates Mercanet BNP Paribas with Sylius, enabling secure and seamless payment processing.
This plugin allows counteracting suspicious behavior in eCommerce by blocking the possibility of purchases using automatic rules or manual analysis of customer behavior.
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