AI-Powered Resiliency for Dynamic Supply Chains
- Deep Insights into your End-to-End Supply Chain
- Detect, Mitigate and Adapt to Disruptions in Real-Time
- Trigger rapid Response
Supply Chain Data Exchanges create a Tower of Babel
Supply Chain Data Exchange Challenges
Data Fragmentation and Silos
Application-Independent Alerting
Data Fragmentation and Silos
Data from different partner applications are siloed, leading to lack of fine-grained access and control.
Lack of Real-time Tracking
Application-Independent Alerting
Data Fragmentation and Silos
Difficulties in extracting insights from diverse data sources lead to poor delivery time estimates.
Application-Independent Alerting
Application-Independent Alerting
Application-Independent Alerting
Disparate application data creates difficulties in setting up automated alerting without custom integrations.
Leads to Lack of Visibility
90% of global supply chain leaders are looking for greater visibility into their supply chain to protect themselves from the risks of disruptions and changes in trade environments.
Resilient Supply Chains need a Semantic-AI driven Solution
Benefits to Supply Chain and Logistics
Rapid Adaptation to changes in Partner Applications
Trigger Responses using Application-Independent Policies
Faster Detection and Alerting in case of Disruptions
Faster Detection and Alerting in case of Disruptions
Trigger Responses using Application-Independent Policies
Faster Detection and Alerting in case of Disruptions
Trigger Responses using Application-Independent Policies
Trigger Responses using Application-Independent Policies
Trigger Responses using Application-Independent Policies
About Drio
Dilip
Dilip
Dilip
Years of time spent in building successful networking and security products that solve key business problems had led me to realize the need to uplevel understanding of traffic flowing between applications beyond the bits and bytes to the understanding of the data itself. Supply Chain is one vertical where intelligence in the diverse and dynamic data exchanges is critical.
Aloke
Dilip
Dilip
I have built AI/ML platforms for extracting insights and detecting emergent issues from data across diverse sectors from manufacturing to cloud applications. The Tower of Babel problem inherent in data exchanges in the Supply Chain ecosystem poses a crucial business problem - a great use case for a new semantic AI approach.
Alak
Dilip
Alak
Real-time stream processing and AI/ML services has been a constant theme in my career. Building a semantic processing product for application to application traffic, I realized the missing key link was semantic understanding. Combining our ideas on how semantic policies can provide value, Drio was born to tackle Supply Chain challenges.
Supply chain Visibility and Intelligence – In the News
SDC Executive: How AI-Powered Mapping Solutions Transform Supply Chain Visibility
Mar 21, 2025: In today’s logistics environment, where numerous factors regularly impact the supply chain, businesses must leverage every tool available to enhance operational resilience. The ability to anticipate delays, optimize delivery routes and observe assets in real-time are all essential. Today, real-time data ingestion, user feedback loops, AI-based “live” mapping, and predictive estimated time of arrival (ETA) capabilities are quickly moving from buzz terms to making logistics more efficient, cost-effective, and reliable.
Times Tech: AI-Powered Supply Chain Resilience: Enhancing Visibility, Predicting Risks, and ...
May 22, 2025 Supply chains have always been the backbone of global commerce. But recent years have made one thing clear—resilience is no longer optional. From geopolitical upheavals to climate events and sudden demand shifts, today’s supply chains are navigating constant uncertainty. In this dynamic landscape, Artificial Intelligence (AI) is proving to be a vital ally, enabling organizations to enhance visibility, anticipate disruptions, and build more sustainable operations.