![]() Tradespeople should be promptly notified about new opportunities, ensuring timely responses. ![]() From job postings, bid placements, quotes, and offers, to status updates and feedback loops, there are millions of events generated every day within the platform, all orchestrated through Kafka's event-driven architecture.Ĭustomers can post job requests in real time. On average, the marketplace gets nearly 50k job requests every day, globally. Requirements for a real-time service marketplaceĪs a web-based solution, the service marketplace allows any customer to post a job for any location, to be done at a time of their convenience. Regular updates and improvements are necessary to keep the platform competitive in terms of features and technical infrastructure. Ensuring smooth integration and maintaining compatibility with evolving APIs was a technical challenge.įinally, maintenance and updates became complex with this large service marketplace, including security patching to adhere to user privacy protocols.Īddressing these technical challenges requires a skilled development team and careful planning to create a successful and user-friendly platform. The platform was not capable of handling various payment methods and integration with third-party services, such as payment gateways, mapping services, and background check providers. There were concerns around security, efficiency, and compliance with regulations. The legacy nature of the payments system involved a lot of manual operations. Handling last-minute changes, cancellations, and rescheduling adds another layer of difficulty. It requires considering factors like location, skills, availability, and customer preferences. Job scheduling is the core of the platform, but there were issues creating an efficient and accurate algorithm that matches the right tradesperson with the right job, something with a high degree of complexity. Outdated technologies lacked the flexibility and features required to meet modern user expectations, like real-time communication between tradesperson and customer, sharing geo-location, or a feedback and rating system to help customers make informed decisions. Traditionally, the service platform was a big monolith built on legacy architecture, which struggled with scalability and performance, especially as the user base grew and more tradespeople and customers joined. We will explore some of the advanced techniques like data integrity, security, and real-time analytics used in the platform, which enabled the creation of a scalable, responsive, and reliable ecosystem for tradespeople and their clients. This blog outlines the challenges and solutions implemented by a popular service marketplace, detailing how Confluent Cloud, a fully managed Apache Kafka® solution, is used as a centralized streaming platform for event-driven processing. The data being collected is not only used for daily operations but its by-product, analytics, can be used to empower trade teams at every part of the job cycle, from making quick decisions to coaching and delivering quality jobs. This is where Confluent comes into play as a pivotal tool in architecting a robust and responsive tradesperson ecosystem. ![]() Imagine a real-time service marketplace where job postings, bids, updates, and feedback flow effortlessly, ensuring that every interaction is timely, relevant, and impactful. Whether you're a homeowner looking for skilled professionals or a tradesperson seeking new opportunities, harnessing the power of real-time event streaming can revolutionize how these connections are established and maintained. This requires innovation as well as seamless orchestration of real-time interactions in order for trade businesses to optimize ROI and efficiency. In today's dynamic and interconnected world, the need for efficient and seamless communication between customers and tradespeople has become even higher. Whether it's an electrician, a plumber, or an HVAC technician, most of us have engaged a tradesperson at some point for our house, office, or other building and have been through the pain of finding the right person or company to do the job with best-in-class delivery.Įver imagined what pains a tradesperson goes through? Searching for a new job, managing multiple job schedules, generating the right quotations, ordering the right materials, and sending customer invoices are a few to name. As the world’s population continues to increase, so does the need for new infrastructure, buildings and housing, automatically increasing the demand for tradespeople.
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