THE FUTURE OF
SUPPLY CHAIN & LOGISTICS ANALYTICS IS HERE
Discover how the intersection of Artificial Intelligence (AI) and supply chain management is creating a new frontier for operational efficiency with Shonket Supply Chain Analytics.
VISION
We’re Changing the Way the World Thinks About Supply Chain
Computer Vision and Advanced Analytics isn't just a technological innovation; it's an indispensable asset for modern supply chain management. Its ability to provide unparalleled visibility and precision far surpasses traditional methods.
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As the competitive landscape intensifies, integrating Computer Vision & Advanced Analytics into supply chain operations will become not just a choice but a necessity for businesses seeking to excel.
ML-powered Supply Chain Application
Empower your supply chain with machine learning to reveal hidden risks, uncover actionable insights, and deliver on customer promises with unmatched speed and efficiency.
Our intelligent solution unifies your supply chain data, empowering you to make the right decisions quickly, mitigate risks, and optimize costs. Unleash the true potential of your supply chain today.
Real-time Information & Visual Map
Shonket Supply Chain Analytics utilizes a set of interactive, visual end-user interfaces built on a micro frontend (MFE) architecture to present your data in a real-time visual map.
This map provides a comprehensive overview of current inventory selection and quantity, along with the health of inventory at each location, including potential stock-out risks. Inventory managers can seamlessly drill down into specific facilities to gain in-depth insights into current inventory on hand, in transit, and potentially at risk.
AI Driven Insights, Collaboration & Perception Enabled
Shonket Supply Chain Analytics automatically evaluates, ranks, and presents various rebalancing options, providing inventory managers and planners with actionable recommendations to address potential risks.
These recommendations are scored based on risk mitigation, facility proximity, and sustainability impact. Supply chain managers can delve deeper to analyze the impact of each option on other distribution centers across the network.
Shonket Supply Chain Analytics continuously learns from your decisions to refine recommendations over time. To facilitate consensus and implementation of rebalancing actions,
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Shonket Supply Chain Analytics offers built-in contextual collaboration tools. Team discussions and messages incorporate risk details and recommended options, minimizing communication errors and delays, enabling faster issue resolution.
Why Supply Chain Analytics with Vision & AI?
A different approach, using Vision and AI in end-to-end supply chain starting from manufacturing to stores.
Computer Vision and Real-time Autonomous Systems are revolutionizing supply chain operations by introducing precision, efficiency, and safety. It streamlines arrival monitoring, wait times, forklift operations, and label scanning. Computer Vision also enhances quality control, safety compliance, gauge reading, and delivery dispatch. By integrating Computer Vision, businesses can optimize their supply chains and achieve operational excellence.