The future of manufacturing has already been set in motion by megatrends like digital workforces, globalized economic opportunities, and regulatory laws. Especially given the recent pandemic, manufacturers are under pressure to stay competitive and grow their business. Hence, they rely on Advanced Analytics, IoT, AI, AR/VR, 3D printing, robotics, and blockchain to improve efficiency, speed and scalability.
Manufacturing analytics provides valuable insights that can significantly improve decision-making capabilities. It equips manufacturers to overcome challenges across manufacturing value chain to optimize operational costs, enhance process efficiency, and minimize wastage of resources.
The sheer volume of physical and digital data logs has become exhaustive. But manufacturers continue to struggle to extract actionable insights from big data – leading to unanswered product or customer service gaps.
Manufacturers still rely on manual methods and human intuitiveness to detect equipment anomalies or deterioration. As a result, it causes unplanned breakdowns and resource wastage that impact the business.
Supply chains tend to be complex – with disparate data sources across vendors, partners, products, BUs, sites, etc. If left siloed and untapped, manufacturers lose the opportunity to optimize their overall expenses.
Worker safety and product quality have cost and brand value implications. Yet manufacturers use manual workflows that are unscalable in the face of new production sites or evolving product portfolios
We help extract actionable intelligence from internal or external touchpoints, no matter how diverse they are. Get deep-dive insights from structured and unstructured data like customer interactions, transactions, channels, product feedback, operational reports/logs, etc.
We enable manufacturers to move from unplanned maintenance to a data-driven predictive maintenance in order to reduce cost and minimize unplanned downtimes. Our ML-led model identifies the optimal number of sensors as well as their positions to assess equipment performance and reduce wastage. We deliver analytics solution that can be scaled across equipment, sites, or geographies.
We identify opportunities to optimize the entire supply chain by integrating data from siloes onto a data and analytics platform to provide the needed visibility and help with data-driven business decision.
We help boost employee safety and increase product quality by providing AI-powered image and video analytics solutions based on edge computing. Identify safety incidents faster and more accurately while creating more efficient product quality control processes with timely manufacturing analytics.
