ChainPulseWorks is an advanced AI-powered supply chain resilience platform designed for SMEs across retail, logistics, and manufacturing sectors. It leverages predictive digital twins, federated machine learning, and a proprietary "disruption genome" framework to forecast supply chain risks up to 72 hours in advance and enable proactive decision-making. The platform transforms fragmented operational data into real-time, actionable intelligence helping businesses reduce disruptions, maintain operational continuity, and achieve scalable resilience without expensive enterprise systems.
ChainPulseWorks is an AI-powered supply chain resilience platform built specifically for SMEs across retail, logistics, and manufacturing sectors. It bridges the critical gap between fragmented operational data and enterprise-grade predictive intelligence.
Using federated machine learning, predictive digital twins, and a proprietary "disruption genome" framework, the platform forecasts supply chain risks up to 72 hours in advance. This enables businesses to shift from reactive operations to proactive, real-time decision-making with enhanced stability and reduced operational losses.
Malavika Satheesh is the founder of ChainPulseWorks, bringing deep expertise in procurement, logistics, and supply chain management. With an MSc from the University of Salford and hands-on experience across industrial operations, she leads the vision of democratizing enterprise-grade resilience for SMEs.
Her work focuses on building intelligent, scalable systems that combine AI-driven prediction, real-time anomaly detection, and automated contingency execution. ChainPulseWorks reflects her mission to transform supply chain management into a proactive, secure, and data-driven ecosystem.
LinkedInChainPulseWorks transforms fragmented supply chain data into a real-time predictive intelligence system, enabling SMEs to detect, forecast, and respond to disruptions before they impact operations.
ChainPulseWorks ingests fragmented operational data including invoices, inventory logs, and logistics records to create real-time predictive digital twins. These "living models" simulate the entire supply chain ecosystem with high accuracy.
The platform maps UK-specific risks such as Brexit-related tariffs, transport delays, and weather disruptions using a proprietary "disruption genome" framework. This allows early identification of cascading risks across supply networks.
Advanced AI continuously monitors multi-source data streams to detect anomalies and forecast disruptions up to 72 hours in advance. This enables proactive decision-making and reduces operational downtime significantly.
Through voice-enabled SAP integration and automated workflows, ChainPulseWorks executes contingency actions instantly. The system also optimizes network-level resilience by prioritizing risks and recommending corrective strategies.
ChainPulseWorks is an AI-powered supply chain resilience platform that converts fragmented SME data into real-time predictive intelligence, enabling proactive disruption management and operational continuity.
Create real-time "living" supply chain simulations.
ChainPulseWorks builds predictive digital twins by integrating fragmented data such as invoices, inventory logs, and logistics records. These dynamic models simulate entire supply networks in real-time, enabling SMEs to visualize interdependencies and anticipate cascading disruptions before they occur.
Decode and predict supply chain risks.
The proprietary "disruption genome" framework maps UK-specific risk patterns such as Brexit tariffs, logistics bottlenecks, and weather disruptions. This continuously evolving AI model identifies early warning signals and predicts failures up to 72 hours in advance with high accuracy.
Secure intelligence without exposing sensitive data.
ChainPulseWorks uses federated machine learning to train models across multiple SMEs without centralizing data. Each business retains full control of its operational data while benefiting from a shared intelligence network that improves prediction accuracy across the ecosystem.
Detect disruptions before they escalate.
The platform continuously analyzes multi-source data including delivery logs, communication signals, and operational metadata to identify subtle anomalies. This enables early detection of stockouts, supplier delays, and network bottlenecks in real-time.
Execute actions instantly using voice commands.
ChainPulseWorks integrates with ERP systems like SAP and enables hands-free contingency execution. Users can trigger supplier adjustments, contracts, and operational responses through voice commands, reducing response time during disruptions.
Optimize decisions across entire supply networks.
The platform evaluates risk sequences and simulates "what-if" scenarios to recommend optimal corrective actions. It prioritizes high-impact disruptions and enables network-level resilience across interconnected SMEs, reducing downtime and losses.
ChainPulseWorks offers a scalable SaaS pricing model designed for SMEs, retailers, and logistics operators to access predictive supply chain resilience using AI-powered digital twins and real-time disruption forecasting.
£99 / month
£249 / month
£499 / month
Learn more about ChainPulseWorks and how our AI-powered supply chain resilience platform helps businesses predict, prevent, and manage disruptions in real time.
ChainPulseWorks is an AI-powered supply chain resilience platform that uses predictive digital twins and federated machine learning to forecast disruptions up to 72 hours in advance and enable proactive decision-making for SMEs and enterprises.
Many businesses rely on fragmented data and manual forecasting, leading to stockouts, delays, and operational risks. ChainPulseWorks eliminates these inefficiencies by providing real-time predictive insights and automated contingency planning.
The platform uses a proprietary “disruption genome” model combined with federated predictive digital twins to analyze supply chain data, detect anomalies, and forecast cascading failures before they occur.
ChainPulseWorks is built for SMEs, logistics providers, retailers, and manufacturing companies that require real-time visibility, risk prediction, and operational continuity across their supply chains.
The platform predicts disruptions in advance, recommends corrective actions, and enables automated responses through integration with ERP systems. This reduces downtime, minimizes losses, and ensures continuous operations.
Yes. The platform uses a scalable SaaS architecture with federated learning, allowing multiple organizations to connect, share insights securely, and benefit from a collective intelligence network.
Have questions about ChainPulseWorks or want to explore how our AI-powered supply chain resilience platform can help your business predict disruptions, improve operational continuity, and maintain real-time visibility across logistics and manufacturing systems? Our team is ready to support your organization with intelligent, predictive solutions built for modern supply chain challenges.
+44 7587413297
chainpulseworksai@outlook.com
Newcastle, United Kingdom