With severe market competition and limited sales opportunities in particular geographies manufacturing firms are often faced with the challenge of building sustainable business models. Along with choosing the right business model, they also combat challenges on choosing the geographies they need to focus on, nature of product offering for markets, ways of leveraging digital solutions to enhance operations, supply chains, customer service, and more
NRI through its strong strategy and digital experience helps in not only identifying the new business opportunities but also identifying new-age digital solutions that can help manufacturing firms improve efficiency, save costs and build customer-centricity both across product and service categories.
NRI has strong experience in supporting clients in identifying business opportunities across new geographies. This involves an unbiased detailed market feasibility assessment involving market analysis, business model assessment, industry KSFs identification, competitor assessment, and growth opportunities identification.
For organizations already present in a particular geography, NRI supports clients in identifying avenues to improve top line and bottom line. This is carried out through a detailed competitor assessment to identify their differentiating factors and strategies to succeed in a particular market. Additionally, NRI supports clients to identify, evaluate the requirement of new-age technologies (e.g. AI, Cloud, Remote Monitoring, etc.) and assess associated revenue and profit potential. Finally, this helps organizations in creating new offerings that help in gaining new customers while retaining an existing customer base.
NRI works with clients in the Metals and Mining industry across their end-to-end digitalization journey starting with stakeholder workshops on digital maturity assessment, process deep-dive to identify gaps and corresponding digital interventions, use case prioritization and digital roadmap creation for short, medium and long term initiatives.
NRI leverages its ecosystem of technology & platform partnerships to undertake Proof-of-Concept (PoC) and full-scale project implementations of digital technologies such as Analytics, IoT, Artificial Intelligence & Machine Learning, etc. across functional areas – such as Production (Forecasting Power Consumption, Input Mix Modelling), In-Plant Logistics (Automated Number Plate Recognition of Vehicles), IT / MIS (Data Strategy & Architecture, KPI Rationalization & Reporting Automation) and other areas.
NRI has strong experience in supporting clients in identifying business opportunities across new geographies. This involves an unbiased detailed market feasibility assessment involving market analysis, business model assessment, industry KSFs identification, competitor assessment, and growth opportunities identification.
For organizations already present in a particular geography, NRI supports clients in identifying avenues to improve top line and bottom line. This is carried out through a detailed competitor assessment to identify their differentiating factors and strategies to succeed in a particular market. Additionally, NRI supports clients to identify, evaluate the requirement of new-age technologies (e.g. AI, Cloud, Remote Monitoring, etc.) and assess associated revenue and profit potential. Finally, this helps organizations in creating new offerings that help in gaining new customers while retaining an existing customer base.
NRI works with clients in the Metals and Mining industry across their end-to-end digitalization journey starting with stakeholder workshops on digital maturity assessment, process deep-dive to identify gaps and corresponding digital interventions, use case prioritization and digital roadmap creation for short, medium and long term initiatives.
NRI leverages its ecosystem of technology & platform partnerships to undertake Proof-of-Concept (PoC) and full-scale project implementations of digital technologies such as Analytics, IoT, Artificial Intelligence & Machine Learning, etc. across functional areas – such as Production (Forecasting Power Consumption, Input Mix Modelling), In-Plant Logistics (Automated Number Plate Recognition of Vehicles), IT / MIS (Data Strategy & Architecture, KPI Rationalization & Reporting Automation) and other areas.
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