Experience Our Supply Chain Intelligence Platform
Roambee's AI-powered supply chain intelligence platform delivers insights and foresights built on firsthand sensor inputs and non-sensor data upon a rich digital database of shipment, asset, lane, and node profiles and their relationships. Data is beyond the carrier or order level; it’s a three-dimensional geospatial visualization around location, condition, and security. The platform also offers intelligence into operational assets in supply chains. The result is reliable, timely, and actionable business predictions powering a more autonomous supply chain.Get a Demo
What is Supply Chain Intelligence and Why is it Important?
Today, enterprises are automating supply chains with warehouse automation, self-driving trucks, and more. But what is the “brain” behind this automation to achieve optimal efficiency?
The answer is Supply Chain Intelligence, a set of prescriptive, decision-enabling insights, foresights, and digital twins built from data analyzed across the network. Supply chain intelligence is critical to building an autonomous supply chain that is entirely self-guided, self-driven, self-healing, and self-optimized for efficiency and a top-notch customer experience.
A prominent European chocolatier transformed its supply chain to make its supply season-proof, even in warm regions. Roambee's intelligence helped identify the top 20 of their 93 lanes in the APAC region that contributed to more than 60% of their cold chain compliance breaches. It enabled them to achieve 85%+ compliance, up from 59% compared to the same season during the previous year, to maintain brand promise, increase sustainability, and reduce costs incurred from wastage owing to rejected goods.Know More
Pharma Cold Chain
One of the world's largest pharma companies headquartered in the US automated its quality control. Roambee further narrowed in on the top 20 lanes that generated 6X stoppage times (24 days as against an average of 4 to 5 days) out of their 500+ lanes and also demonstrated quality compliance by airline, carrier, and transporter on these lanes to better plan temperature excursion and security risk mitigations. It helped the firm reduce costs, mitigate supply risks, and become more sustainable through lesser wastage.Know More
Railcars and Rail Boxes
A British multinational is automating its railcar management operations with Roambee. Roambee's heat maps precisely uncovered consumption patterns and dwell times remotely at every customer site and enabled optimized deliveries, timely rail car retrievals, and accurate forward/reverse ETAs, driving efficient railcar management and automation.Know More
Dwell time is a critical component that increases the chance of theft. Roambee's intelligence enabled one of the largest returnable packaging operators serving the Food & Retail industries to reduce idle dwell time at their processing facilities by 34% in just 2.5 years, leading to a proportional increase in revenue per asset. Roambee also predicted assets at risk of loss or theft based on route patterns, aging, and location awareness.Know More
Insights and Foresights
What are Supply Chain Insights?
Roambee’s insights are historical and live analytics of your performance against a supply chain KPI. Using machine learning (ML), firsthand sensor inputs, and non-sensor data, upon a rich digital database of shipment, asset, lane, and node profiles and their relationships, our dashboards and signals are self-learned, industry-specific, relevant, and contextual. For instance, by learning nodal movement patterns of railcars, the platform auto-identifies load/unload zones at remote facilities to calculate dwell time data to optimize railcar operations.
What are Supply Chain Foresights?
Roambee’s foresights are a futuristic extension of its insights, accurately predicting a supply chain KPI for specified operational scenarios. The platform uses artificial intelligence (AI), machine learning (ML), firsthand sensor inputs, and non-sensor data, upon a rich digital database of shipment, asset, lane, and node profiles and their relationships to be industry-specific, relevant, and contextual. For instance, the platform can forecast cold chain compliance based on lane, season, and transport partner to proactively drive operational efficiency.
For the Pharmaceutical Industry
Pharma supply chains face challenges in automating quality control and ensuring the availability of medicines for patients. Roambee’s supply chain intelligence platform offers insights and foresights on OTIF and cold chain performance by lane, node, transporter, and more.
For the Food & Beverage Industry
Food supply chains are challenged with ensuring the continuous availability of quality products on shelves and retaining their brand’s promise. Roambee’s supply chain intelligence platform offers insights and foresights on OTIF and cold chain performance from farm to fork.
For the Chemical Industry
Chemical supply chains are challenged with delivering products predictably to their own or customers’ production sites and optimizing assets such as tanks. Roambee’s supply chain intelligence platform offers insights and foresights on OTIF, condition, and asset performance.
For the Electronics Industry
Electrical and electronics companies are challenged to deliver high-value or make-to-order products predictably offer a great customer experience and stay competitive. Roambee’s supply chain intelligence platform offers insights and foresights on OTIF and handling.
For the Automotive Industry
Automotive supply chains are challenged to deliver products predictably to manufacturing sites, dealers, or stores and to optimize the use of crates, bins, etc. Roambee’s supply chain intelligence platform offers insights and foresights on OTIF, handling, and asset performance.
For the Logistics Industry
Logistics service providers are challenged to remain competitive in an ever-evolving service industry. Roambee’s supply chain intelligence platform offers insights and foresights on OTIF, cold chain, handling, and asset performance to boost customer experience and value.