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Revenue Management
The Infosys High Tech practice helps semiconductor, electronic devices and original equipment manufacturers as well as Independent Software Vendors (ISVs) gain visibility into revenue to grow the business. Our revenue management solutions accelerate revenue recognition and realization. Robotic Process Automation (RPA) of accounts payable, accounts receivable, payroll, and general book keeping streamlines reconciliation, financial reporting, audit, and statutory compliance in distributed work environments.
Infosys defines the future state architecture for business functions and replaces legacy applications with customized ERP packages. We migrate procurement and spend management apps to the cloud. It helps enterprises adopt voice / image recognition techniques, messenger apps, and chatbots for self-service. Notably, our systems integration approach focuses on interoperability, which enhances the effectiveness of sales and account management.
Our forecasting models aggregate demand across short, mid and long-term horizons. The insights enable account / product / country-specific pricing policies, while rationalizing investment in production equipment. Further, it guides discounting practices as well as negotiations with suppliers. Accurate forecasting supports planning across revenue, supply, capacity, and production to meet demand projections. Significantly, it mitigates revenue loss due to overpayment, unused capacity, and imbalanced product portfolio.
We apply data science and cognitive analytics to drive smart product substitution for demand fulfillment. Our product recommendations engines and substitution tools empower manufacturers and dealers to manage business cycles, while ensuring smart allocation of working capital. Further, our machine learning models drive continuous improvement of process parameters, product recipes and spend analytics to rationalize costs.
Success story: Online marketing platform grows global business
State-of-the-art technology infrastructure for end-to-end marketing services improved customer satisfaction score by 25% at a semiconductor chip manufacturing company.
Case Study
Case Study
Case Study
Case Study