V-OptimAIse primarily targets emission-heavy infrastructures, such as buildings,
transportation, and manufacturing sectors. These sectors account for more than 70% of the global emissions.
We make use of unutilised or under-utilised data to identify production bottle-necks, detect product anomalies, avoid critical
failures - all aimed towards maximising the productivity.
Our team has researchers and business graduates with more than a decade of collective
experience. This helps V-OptimAIse to transform the existing product traffic problems, enabling a big-data solution. We
leverage machine learning and reinforcement learning to identify defects and optimise the
product flow.
Employing explainable AI strategies, we further provide valuable insights and
recommendations, enabling easy comprehension and swift implementation for the clients.
Industry 4.0 has helped these companies make strides across KPIs that drive growth. These KPIs span all five areas of impact and include sustainability KPIs, such as greenhouse-gas emissions; productivity KPIs, such as factory output; agility KPIs, such as lead-time reduction; other speed-to-market KPIs; and customization.
Companies can deploy digital solutions beyond the four walls of a manufacturing plant, reaching across the end-to-end value chain to address planning (and replanning) challenges related to disruptions at suppliers or production plants, operational challenges in managing workplace health risks, and delivery challenges posed at transportation modes or in warehouses.
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