Explore our Supply Chain Insights

Connected Jetpack: An AI-assisted analytics module for navigating complex data and generating actionable insights!

Digital Twins are the next logical step in an IoT implementation. Data storage for a digital twin can include a property graph database such as JanusGraph or DSE Graph, a time series database like TimescaleDB, and an analytical database like Redshift, Google Bigquery, or HP Vertica.

Join Expero and Neo4j in a discussion about improving visibility into your supply chain, and better use of the data you've collected to greatly improve your supply chain and chain of custody tracking.

During this webinar, Expero and Tigergraph Supply Chain analytics teams will discuss trends in geopolitics and economic stimulus, and how to improve your supply chain and chain of custody tracking.

Take a deeper look into Expero's Radiant Path Software, which allows users to check the feasibility of their manufacturing plans by looking at the demand versus production delta in detail.

In order to better protect your consumers and ensure compliance with FDA standards, this session will focus on utilizing Graph and Machine Learning technology to enable the advanced traceability and predictive analytics needed so that you are enabled to take on The New Era of Smarter Food Safety.

During this webinar, we will show Supply Chain managers and planners how to utilize Graph technology to ensure organizational compliance with DSCSA.

Increasing the accuracy of analytics technologies drives modern business, and getting more realistic results applicable to on-the-ground business operational conditions means orgs can make better decisions faster.

The focus of this webinar is to show you how new Visualizations and Graph technology trends in 2021 can increase the usability and accuracy of your supply chain.

Take a look into Expero's Network Analytics Toolkit which optimizes core elements in airlines, logistics, or transport through filtering and advanced visualizations of key performance indicators capable of running 'What If' scenarios.

The focus of this webinar is to identify how Machine Learning, Visualizations, and streaming technology can directly increase the accuracy and output of systems to drive revenue, cut costs, and include 'Human in the Loop.’ During this online meetup, you'll learn from our Confluent & Expero experts how to unlock the potential in your organization.

The focus of this webinar is to identify how Machine Learning, Visualizations, and Graph technology can directly increase the accuracy and output of systems to drive revenue and cut costs and include 'Human in the Loop.'

With disruption as the new normal, plans need to constantly realign and adapt. Managing flow across multiple tiers of suppliers is difficult under normal circumstances, but with changing lead times and supplier disruption, there is an increasing need to improve supply visibility. This webinar discusses strategies to map flows and improve plan feasibility and reliability for Supply Chain planners around the globe.

The key use cases to be illustrated in this webinar are: payload and route optimization, asset and driver optimization, warehouse location, multi-mode transportation options, higher more profitable miles, lower driver turnover, increased safety, demand and capacity planning, and the ability to 'What If' all parts of the logistics process in real time.

Supply chain superheroes manage disruption and manufacture products cheaper and faster. This crisis has shown us all how fragile the global supply chain actually is and why we need these superheroes more than ever before.

Data Products Strategy and Implementation

How capacity modeling can offer the best protection against erratic market demand

Complex Manufacturing & Supply Chain Round Table with TirgerGraph

Data Products: What Product Managers Need to Know about Productizing Data Science

Getting your graph to scale is only half the battle. Learn here how Expero helps businesses understand their data and make real time decisions using custom visualizations and UX.

Building data products in your organization to realize data science ROI and never before seen data insights.

Revolutionize your sales and operations planning. Find what matters in your data, align stakeholders, explore issues and proactively what-if alternatives.

A native parallel graph enables manufacturers to identify and manage product delays, shipment status, and other quality control and risk issues, at massive scale in real-time.

Join us for this quick deep dive on how machine learning and analytics can be used to get insights into your data & scheduling/managing fleets.

See how compiled data sources allow for real-time mapping of road safety and current conditions.

Supply chain planning demo showing real-time visibility into demand and capacity planning.

Supply Chain planning and analytics dashboard showing risk visibility, real-time data and time series.

Understand the differences between supply chain visibility, traceability, and transparency.

Automating multifaceted, complex workflows requires hybrid solutions like streaming analytics of IoT data, batch analytics like machine learning solutions, and real-time visualizations.

15 Minute Lightning Talks + Q&A. Powerful Data, Storage & Search & Graph Technology in 1 platform - Cassandra.

Cut Costs & Manage Entitlements with Graph Technology & ML Analytics.

Cut Costs & Optimize Revenue with Supply Chain Technology.

Understand the differences between supply chain visibility, traceability, and transparency. Learn what graph is and how it can create a unified view across digital and physical supply chain processes, yielding more prescriptive supply chain decision making. Use Graph + ML to improve demand forecasting and production planning, while reducing inventory and operating costs. Focus areas include, inventory, routing, predictive analytics, device & fleet management, materials, and more.

15 Minute Lightning Talks + Q&A

Use graph and machine learning to optimize routing, inventory, predictive analytics, and fleet management of your supply chain while cutting costs and making your dollar go further.

Take a look at how to optimize your telecom. Visualize points of connectivity, and future connections to be made. Designed to accommodate a back office and on site workers.

Get more insight into your resources. Estimate ahead of time certain needs and gaps in your production line.

Accelerating IoT, Finserv, and Supply Chains with JanusGraph and Cloud Bigtable

Data Management for Oil and Gas - Predictive Maintenance Intelligence

Dashboard screens from an application showing detection of weather anomalies and other interferences in supply-chain. Includes user friendly abilities to reroute shipments, allowing companies to save money by limiting lost or late shipments and and changing plans at a moments notice.

Case Study

Don't be in the dark when the next natural disaster happens. Visualize your data with real-time supply-chain mapping powered by Graph Technology.

Don't be in the dark when the next natural disaster happens. Visualize your data with real-time supply-chain mapping powered by Graph Technology.

Reinforcement Learning of a deep neural network has been applied to the problem of supply chain logistics: In a stochastic environment, how to optimize pickup and delivery schedules.

Use case modeling timeline and possible future events that could interfere with supply chain. Allows user to see all options for rerouting and the implications of each decision.

Graph convolutional networks exhibit optimal deep learning on big graph data to gain business insight.

Identify ROI and business case costs at a high level. Increase delivery with real-time impact and transport analysis.Learn how Graph Technology + Machine Learning will improve delivery times, minimize transport risk through data analysis and increase product satisfaction. Use predictive analytics to reduce operational bottle necks and discover areas of concern affecting supply. Using Graph + ML allows you to increase customer satisfaction through visualization of supply and demand impacts.

Learn how DataStax Graph Technology will improve delivery times, minimize transport risk through data analysis and increase product satisfaction.

Graphs and graph datasets are rich data structures that can be used uniquely to improve the accuracy and effectiveness of machine learning workflows. Some of the key interactions are graph analytics as features, semi supervised learning, graph based deep learning, and machine learning approaches to hard graph problems.

This post explores Graph For Supply Chain

This post explores Machine Learning For Supply Chain

This post explores Machine Learning for Supply Chain & Logistics

This post explores transportation, auto, and infrastructure.

Bringing Visibility to a Complex Data Lake

Can you predict and plan for the flu? Expero built a data product including a long term forecast for modeling the spread of influenza-like illness across the United States using a cutting edge deep learning model.

Use machine learning to forecast crop growth.