Nimbus Tech provides enterprise data management, regulatory reporting, reconciliation and performance management solutions. Our FORIS suite of products is specially designed and developed to handle large and high speed data volumes generated from variety of banking & financial systems
We empower service providers to enhance customer satisfaction, transparency, and value co-creation with digitally transformed services and positively impacting customer experiences by leveraging advanced technologies. IT Service Management is also one of our major areas of expertise
Our experience represents a significant shift in industrial automation and production by applying Industry4.0 methodologies and transform manufacturing units to smart factories. Data analytics involves extracting actionable insights from vast amounts of data to make smart decisions and optimize routine operations, reduce resource consumption and leading to improved performance.
The goal of analytics in retail is to discover trends, predict outcomes, and make better business decisions related to retail operations, such as sales, inventory, pricing, and customer behavior. We ensure effective data analytics provide insights into store performance, product success, customer preferences, vendor relationships and demand forecasting.
We offer Business Process Outsourcing Services to 3PL Logistic Companies in North America and specializes in integrated operations of warehousing, transportation and drayage services. Our agents are experienced in order fulfilment and process orders, pick and pack products, and manage shipping, they play a critical role for demanding customers with faster delivery options.
FORIS Revenue Assurance & Business Intelligence Solution has specially been designed for intensely competitive telecom landscape with major shift in revenue streams. Our reconciliation models help monitoring and addressing revenue leakage in existing processes and systems and ensure recovery. Solution offers accurate revenue reporting essential for telecom operators.
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