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Nojumo

Nojumo provides end-to-end monitoring, observability, and automated problem resolution solutions tailored for the retail sector, ensuring optimal performance across back-office systems, point-of-sale terminals, and e-commerce platforms. By proactively detecting and addressing performance issues, Nojumo enhances operational efficiency and minimizes downtime, ultimately reducing costs for retailers.

São Paulo, BrazilFounded 20216500+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Retailers face challenges in maintaining optimal performance across diverse systems, including back-office operations, point-of-sale (POS) terminals, e-commerce platforms, and mobile applications. Downtime, slow transaction processing, API failures and security breaches lead to revenue loss, customer dissatisfaction, and increased operational costs.

Solution

Nojumo provides end-to-end monitoring, observability, and automated problem resolution solutions tailored for the retail sector. The platform offers a comprehensive view of the entire technology stack, enabling IT teams to quickly detect bottlenecks, anomalies, and failures. By implementing proactive and automated solutions, Nojumo minimizes downtime and ensures high availability of critical services. The solution uses distributed tracing to monitor the flow of requests across different services and integrations, and configures alerts based on defined thresholds to detect anomalies and performance degradation.

Target Audience

Nojumo targets retail businesses seeking to improve operational efficiency, reduce downtime, and enhance customer experience across all sales channels, including brick-and-mortar stores and e-commerce platforms.

Features

  • End-to-end monitoring of back-office systems (SAP, Totvs), POS terminals, self-checkouts, interactive kiosks, e-commerce platforms, and mobile applications
  • Real-time monitoring of hardware, software, network, and integrations within POS systems
  • Distributed tracing to track requests across microservices and interconnected systems
  • Automated resolution of incidents without human intervention
  • Comprehensive monitoring of e-commerce application layers, including front-end, back-end, and infrastructure
  • Performance monitoring of mobile applications, including app startup time, API response time, network latency, and device resource usage
  • Anomaly detection and alerting based on defined thresholds for APIs and system performance
  • Log analysis and filtering to identify errors, exceptions, and integration failures
This profile is AI-generated and may contain inaccuracies.