Pimcore vs QuickReply.ai
Overview
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CLI (Node.js)
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Detailed Comparison
It is a software vendor for free and open-source customer experience management, digital asset management, product information management, multi-channel publishing and e-commerce software. | QuickReply.ai is a WhatsApp marketing and automation platform that helps B2C brands streamline customer conversations across the full lifecycle. Companies use it to automate lead capture, qualification, follow-ups, and support through visual journeys and GenAI chatbots. Trusted by 1,500+ businesses in 29+ countries. Supports WhatsApp, Instagram, Facebook Messenger, SMS, and web chat for true omnichannel messaging. |
Built to handle any digital data type to optimize managing, acquiring and sharing them;
Offers a consolidate setup where you can manage all your digital assets, web content, digital commerce, and product information;
Highly flexible solution | WhatsApp automation, WhatsApp marketing broadcasts, Visual journey builder, Lead capture flows, Lead qualification flows, CRM-integrated workflows, GenAI chatbots, FAQ automation, Support automation, Omnichannel messaging (WhatsApp, Instagram, Messenger, SMS, web chat), Unified agent inbox, Auto-routing and escalation, Targeted and segment-based messaging, Real-time alerts and follow-ups, Conversation analytics and reporting, Multi-brand and high-volume scalability. |
Statistics | |
GitHub Stars 0 | GitHub Stars - |
GitHub Forks 0 | GitHub Forks - |
Stacks 77 | Stacks 0 |
Followers 53 | Followers 1 |
Votes 7 | Votes 1 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Pimcore, QuickReply.ai?
Intercom
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PrestaShop
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Engati
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Magento
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Shopify
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Olark
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Spree
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Dialogflow
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Telegram Bot API
Bots are third-party applications that run inside Telegram. Users can interact with bots by sending them messages, commands and inline requests. You control your bots using HTTPS requests to our bot API.
Saleor
Saleor is a rapidly-growing open source e-commerce platform that has served high-volume companies from branches like publishing and apparel since 2012. Based on Python and Django, the latest major update introduces a modular front end powered by a GraphQL API and written with React and TypeScript.
