Ordering Stack
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If you need an advanced highly configurable end extendable ordering solution for your restaurant chain, you should check Ordering Stack. It has an extensive product/item model capable of multi-level configuration, great for burgers, pizza, and any other concepts. Mobile and web client is created in React.js, you can customize it and change UX/UI. You can easily connect any loyalty system and apply any discounting rules by using webhooks. You can use the geolocation/address autocomplete API of your preference as well as the payment gateway. Our software is also great for virtual kitchens and marketplaces business models.
Ordering Stack is created with the leading IT architectural principles in mind. We provide service of UX/UI customization and integration with your POS system as well as with food aggregators/marketplaces. You can also have access to source codes and implement them by yourself.
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Ordering Stack's answer
dedicated team will help with POS Integration, extensive product model allowing even most advanced combo meals and customizations, asynchronious data processing - very good performance even in in biggest peaks, modern architecture allowing customization and extensions with API and webhooks
Ordering Stack's answer
We work mainly for mid-size to big multi-unit restaurant chains helping them digitialize their ordering channels
Ordering Stack's answer
Burger King (Rex Capital), Popeyes (Rex Capital), PASIBUS, KFC (SAMEX)
Ordering Stack's answer
Ordering Stack was developed by IT engineers with extensive experience in the QSR domain. It is designed to be programmer and integrator friendly. Some of its features include an extensive QSR product model (such as combo meals), high performance due to its non-blocking architecture, microservices architecture, a high level of customization, and support for Open API and webhooks.
Ordering Stack's answer
For 10 years, our team has worked with some of the largest international QSR brands, including KFC, Pizza Hut, Burger King, and Starbucks, implementing bespoke ordering platforms integrated with enterprise-grade POS systems. These collaborations allowed us to gather extensive experience in the QSR domain. Five years ago, we decided to leverage this experience to create Ordering Stack, a modern ordering and self-service platform for multi-unit restaurants.
Ordering Stack's answer
We use: Java, Node.js, Apache Kafka, MongoDB, Docker/Kubernetes in backend and React.js in the frontend.
Based on our record, Unleash seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
So my first instinct is to setup some sorta feature-flag thing within a CMS so managers can flip the boolean, I'm exploring getunleash.io and GrowthBook.io and we already use Contentful.com within the app but they're saying they "really don't think we need to use any third party thing for a killswitch"... Source: about 1 year ago
We are an Open Source Feature Flagging solution called Unleash, and we are looking to get some feedback from the community on a decision we are trying to make. We are considering offering our developers the option to either write technical content through a Community Content Program for us for a $200 fee, or to donate that amount to charity. Source: over 1 year ago
TLDR: Privacy is really important for us at Unleash. Here you will find the full story on how we ended up with an analytics solution that does not collect personal data and has very short retention. Whenever we evaluate a new feature at Unleash, we always start with one question. How does this fit with our values? This question is powerful. It can quickly qualify or disqualify a feature from consideration, putting... - Source: dev.to / almost 2 years ago
Have seen Unleash used: getunleash.io and people seemed happy with it. Source: almost 3 years ago
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