Up to 300,000 tickets/hour with Kafka!
May 6, 2025 In the retail sector, data volume is constantly growing. And it’s not just about sales: every new store, every omnichannel integration, every pricing update dramatically increases the traffic between stores and headquarters. At the same time, once data is received and validated by **comerzzia SalesOrchestrator**, it must be processed and sent to the various integrated platforms. So, how can we ensure that everything continues running in real time¿without compromising reliability or performance? At comerzzia, we’ve addressed this challenge by evolving our communications architecture with Kafka, enabling our clients to process up to 300,000 tickets per hour with full stability and scalability.
What was the challenge?
In environments with hundreds or thousands of stores, processing sales flows, cash closures, or audits in real time can seriously strain traditional systems. It’s not just about moving data¿it’s about doing it right, doing it fast, and ensuring availability. Below 25,000 tickets per hour, comerzzia’s native architecture handles flows optimally. But when volumes increase¿due to expansion, marketing campaigns, or seasonal peaks¿ Kafka becomes essential.
What does Kafka bring to comerzzia?
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Distributed processing: instead of a single processing point, multiple instances work in parallel.
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Automatic scalability: the system dynamically adjusts the number of processors (consumers) based on data volume.
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High availability: events are queued and processed resiliently, even during spikes or unexpected incidents.
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Flexible deployment: it can be implemented on-premise or in the cloud (AWS, Azure, GCP), using platforms like Confluent Cloud.
An architecture ready to grow
Thanks to this integration, comerzzia transforms every event¿a sale, a cash closure, a return¿into a data stream that can be processed instantly, without bottlenecks and without disrupting store operations. The solution is also built for horizontal scalability, adding new processors whenever the business demands it¿without affecting core systems.
More than sales
Once Kafka is deployed, the possibilities expand: real-time audits, event-driven recommendation engines, smart marketing campaigns, predictive analytics… comerzzia opens the door for retail to evolve into more agile, personalized, and competitive models. You can access the full document at the following link.If you are not certified in comerzzia, you can request access here. For more technical information or to activate this module in your comerzzia environment, please contact your account manager or our product team. Facing a major scalability challenge? At comerzzia, we’ve already solved it. Get in touch with our expert team!
