List of Decision AI Customers
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United States
Since 2010, our global team of researchers has been studying Decision AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Decision AI for Supply Chain Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Decision AI for Supply Chain Management include: Tesco, a United Kingdom based Retail organisation with 340000 employees and revenues of $93.25 billion, BASF US, a United States based Oil, Gas and Chemicals organisation with 16060 employees and revenues of $19.77 billion, Aramex, a United Arab Emirates based Transportation organisation with 18000 employees and revenues of $1.55 billion and many others.
Contact us if you need a completed and verified list of companies using Decision AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Aramex | Transportation | 18000 | $1.6B | United Arab Emirates | Decklar (formerly Roambee) | Decision AI | Supply Chain Management | 2020 | n/a |
In 2020, Aramex implemented Decision AI from Decklar, formerly Roambee, to provide sensor driven, door to door multimodal shipment visibility. The Decision AI deployment supported Supply Chain Management use cases for enterprise customers across Aramex regional operations in the Middle East.
Deployment included sensor telemetry and edge tracking hardware to capture real time location, temperature, shock, and ETA signals, and the Decision AI analytics layer for signal aggregation and event detection. Functional modules implemented included telemetry ingestion, time series analytics for ETA estimation, cold chain condition monitoring, and alerting and dashboard visualization for operational teams. Configuration emphasized multimodal continuity across air, road, and sea legs to preserve tracking fidelity across handoffs.
Operational coverage focused on enterprise customer shipments across Aramex’s Middle East network, and visibility feeds were used to inform delivery orchestration and SLA monitoring workflows. Governance changes established standardized escalation rules for temperature excursions and defined SLA exception handling for cold chain shipments. Rollout was staged by corridor and customer tier to align monitoring and response processes with operational teams.
The implementation delivered real time ETA and condition signals that improved cold chain assurance and supported tighter SLA management for enterprise customers. The Decision AI application, as deployed by Decklar formerly Roambee, became the operational Supply Chain Management visibility layer for these monitored flows.
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BASF US | Oil, Gas and Chemicals | 16060 | $19.8B | United States | Decklar (formerly Roambee) | Decision AI | Supply Chain Management | 2016 | n/a |
In 2016 BASF US began using Roambee's visibility and intelligence platform to increase transportation transparency across container movements to plants and ports, improving monitoring of environmental conditions for safer, more sustainable logistics. Based on Decklar positioning that Decision AI is the next evolution of Roambee's visibility platform, this account is inferred to have been assigned Decision AI within the Supply Chain Management category to introduce predictive ETA, quality release orchestration, and OTIF-focused capabilities.
The implementation narrative centers on visibility and intelligence capabilities, with Decision AI layered to consume sensor telemetry and event streams from container shipments, and to apply cloud analytics and predictive modeling for estimated time of arrival and quality condition assessment. Functional modules implied by the vendor positioning include real time visibility, environmental condition monitoring, predictive ETA engines, exception detection and rule based alerting, and OTIF reporting and dashboards.
Operational scope covered transportation and logistics flows delivering containers to BASF plants and port sites, affecting transportation management, plant receiving operations, and logistics control tower functions. Governance and workflow changes inferred include adoption of event driven exception management and cross functional operational processes to support on time in full deliveries; outcomes explicitly reported include increased transportation transparency, support for OTIF deliveries, and monitoring of environmental conditions for safer, more sustainable logistics.
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Tesco | Retail | 340000 | $93.2B | United Kingdom | Decklar (formerly Roambee) | Decision AI | Supply Chain Management | 2024 | n/a |
In 2024, Decklar deployed Decision AI to provide real time container tracking across Tesco's UK rail and road network, covering roughly 3,000 stores and more than 23,000 container journeys. The deployment targeted Supply Chain Management use cases, focusing on end to end visibility for container flows and delivering ETA and decision signals into operational workflows.
Decision AI was implemented with container visibility and ETA decision signal capabilities informed by Decklar's AI visibility and orchestration approach. The configuration emphasized continuous location telemetry, event detection for dwell and delay, and automated decision signal generation to support prioritization and orchestration of container movements across modal handoffs.
Operational scope included Tesco's UK rail and road transport lanes and downstream store replenishment processes for the covered store network. Functional impact mapped to transportation planning, distribution orchestration, inbound dock operations, and inventory accuracy across stores, with Decision AI signals used to drive event driven operational responses and rescheduling of container handling.
Governance and process changes centered on integrating AI decision signals into existing logistics coordination workflows, shifting teams toward exception management and signal based intervention. Reported outcomes from the case study included reduced dwell times and improved stock accuracy, reflecting Decision AI usage within Tesco's Supply Chain Management environment.
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