With enterprises rushing towards rapid cloud adoption, they need to take into account the changes involved in IT transformation projects. Process harmonization across lines of business or geographies is time and resource intensive and often met with resistance to change. Coexistence with legacy ERPs poses increasing challenges in terms of desired scalability and flexibility. At the same time, business gaps in SaaS platforms hinder the adoption of the cloud across functions.
Changes in the business environment as well as the powerful convergence of multiple technologies have led to massive shifts in the manufacturing industry. We are well into the Fourth Industrial Revolution, and enterprises need digital transformation to face the competitive challenges created by Industry 4.0. Manufacturers need to acquire new-age business capabilities along with a solid technological platform that can scale easily as needed.
To help organizations rise to these challenges, Infosys has introduced a packaged industry solution leveraging the Oracle SaaS platform along with Infosys solutions, tools, and platforms. As part of our Infosys Cobalt offerings, this solution can enable companies to quickly acquire the capabilities they need to compete in an Industry 4.0-dominated manufacturing environment. A combination of Oracle SaaS, augmented by Infosys IP-based solutions, AI/ML-based analytics solutions, Infosys Live Enterprise Suite, and RPA solutions, Infosys Discrete Manufacturing Solution is aimed at making cloud transformations focused, quick, and predictable for enterprises.
Infosys Discrete Manufacturing Solution accelerates the manufacturing modernization program by bringing end-to-end solutions that are based on industry-recognized reference processes, along with the new-age technical and business capabilities that today’s manufacturers need.
In addition, Infosys Discrete Manufacturing Solution uses the Infosys Live Enterprise Suite that hosts key dashboards and productivity solutions (such as workbenches, dashboards), and pre-built analytics including those that are AI/ML-based (such as predictive quality, business KPIs, and IoT data analysis). The solution also contains chatbots and RPA-based automation solutions in different functional areas.
The solution offers pre-built capabilities that manufacturers need to stay competitive in the industry. These capabilities include solutions for engineer-to-order, remanufacturing, smart manufacturing, digital quoting and sales, remote asset monitoring, product-subscription bundling, and new business models such as servitization.
Another value-added feature is the contextualization of innovation delivered through Infosys tools such as Infosys Live Enterprise Suite, RPA and automation solutions, and analytics to derive actionable insights.
Enhance Core Capabilities
Acquire New Capabilities
Accelerate Implementation through Pre-built Solution
A solution built for orchestrating activities between sales, engineering, planning, purchasing, and manufacturing with the automation, tracking, and workflows necessary to support ETO business end-to-end, and improve the go-to-market time for ETOs by ~15-20%
Remanufacturing solution helps OEMs target additional market segments with remanufactured products, by using salvaged components. Material waste reduction solution helps reduce material wastage by ~3-5% for components such as bar stock, cables, and wires
MES adaptors for the cloud help customers connect their legacy MES to Oracle SaaS. An Infosys-built MES solution also offers additional functionalities for shop floor execution on the cloud.
The Smart Quoting Solution helps with configuration and pricing solutions for complex CTO and ETO products. These include solutions for bundling products, services, and subscriptions along with aftermarket sales, cross-sell, upsell, and replacement and renewal processes. It also offers pre-built integrations with order management for an accurate quote-to-order conversion.
Step-by-step solutions for the transformation of services functions such as install base management, service request management, field service management, IoT-based asset monitoring, subscription models, and knowledge management.