ConfigCat is a developer-centric feature flag service that helps you turn features on and off, change their configuration, and roll them out gradually to your users. It supports targeting users by attributes, percentage-based rollouts, and segmentation. Available for all major programming languages and frameworks. Can be licensed as a SaaS or self-hosted. GDPR and ISO 27001 compliant.
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.
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, ConfigCat seems to be more popular. It has been mentiond 54 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.
ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, excellent support, and a reasonable price tag. Free plan up to 10 flags, two environments, 1 product, and 5 Million requests per month. - Source: dev.to / 5 months ago
ConfigCat allows you to manage your feature flags from an easy-to-use dashboard, including the ability to set targeting rules for releasing features to a specific segment of users. These rules can be based on country, email, and custom identifiers such as age, eye color, etc. - Source: dev.to / 7 months ago
I recently started helping my friend @jordan-t-romero with a NextJS and NodeJS project she is working on. This weekend we incorporated ConfigCat so that we can add feature flags to control what content is displayed in the different environments (local, staging, production, etc.). - Source: dev.to / about 1 year ago
But how can you be sure you’re making the right changes? It’s impossible to read your clients’ minds, but A/B testing might just be the next best thing. In this article, I’ll guide you through conducting an A/B test on an Android (Kotlin) application using ConfigCat’s feature flag management system and Amplitude. - Source: dev.to / about 1 year ago
If you're planning on cutting back or saving bandwidth utilization and optimizing for better performance on the client side then a caching solution like Redis can help. And, as we've seen from the code examples, Redis integrates quite easily with ConfigCat. With a caching solution in place, you can supercharge the way you do standard feature releases, canary deployments, and A/B testing. Besides Node.js, ConfigCat... - Source: dev.to / about 1 year ago
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