List of Lumy AI Customers
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Since 2010, our global team of researchers has been studying Lumy 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 Lumy AI for Predictive Analytics 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 Lumy AI for Predictive Analytics include: Kroger, a United States based Retail organisation with 409000 employees and revenues of $147.12 billion, Chalhoub Group, a United Arab Emirates based Professional Services organisation with 16000 employees and revenues of $4.00 billion, Growmark, a United States based Consumer Packaged Goods organisation with 6500 employees and revenues of $1.00 billion and many others.
Contact us if you need a completed and verified list of companies using Lumy 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.
The Lumy AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Chalhoub Group | Professional Services | 16000 | $4.0B | United Arab Emirates | Lumi | Lumy AI | Predictive Analytics | 2025 | n/a |
In 2025 Chalhoub Group deployed Lumy AI as a Predictive Analytics application to drive Sales & Customer Operations insights across the Middle East. The deployment analyzed customer purchase behavior in BigQuery to surface opportunities to increase in store average order value and to prioritize customers likely to shift from online to in store purchases.
Lumy AI was configured to operationalize propensity scoring and customer segmentation workflows, combining cohort analysis and uplift-oriented predictive models to identify conversion opportunities. The implementation produced prioritized customer lists and decisioning outputs for targeted in store engagement, with Lumy AI generating signals used by commercial teams to shape offers and outreach.
The technical footprint centered on a direct integration with BigQuery as the primary data source for transaction and behavioral records, feeding model training and scoring pipelines. Operational coverage focused on Sales and Customer Operations teams across the Middle East, where model outputs were consumed by store operations and field engagement processes.
Governance emphasized model-to-market orchestration and measurement, with analytics and operations teams coordinating targeting and validation of in store campaigns. Lumi identified a 60 million dollar revenue opportunity and a 174 dollar increase in offline average order value by targeting customers likely to convert from online to in store purchases.
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Growmark | Consumer Packaged Goods | 6500 | $1.0B | United States | Lumi | Lumy AI | Predictive Analytics | 2025 | n/a |
In 2025 Growmark implemented Lumy AI. The deployment used Lumy AI in the Predictive Analytics category to provide conversational analytics across supply chain and procurement datasets targeted for North America. The initial engagement was scoped as a pilot connecting Lumy AI to datasets in Growmark's data lake Amazon Athena.
Configuration emphasized a semantic layer to improve data trust and a conversational query interface for business users. Functional capabilities implemented centered on conversational analytics for supply chain planning and procurement analytics, enabling analysts and planners to surface insights without building bespoke reports. The implementation focused on metadata-driven semantics and natural language access patterns consistent with Predictive Analytics workflows.
Integrations were explicitly built against Amazon Athena to leverage existing data lake assets, with Lumy AI layered atop those datasets to expose governed views. Operational coverage targeted supply chain and procurement business functions across North America, concentrating initial adoption among operational analysts and procurement teams. The architecture linked the conversational analytics application to the data lake and semantic mappings to preserve dataset lineage and consistency.
The pilot accelerated access to insights and improved trust in data through the semantic layer, and it drove a measured enterprise rollout plan with stronger data governance outcomes. Governance practices were adjusted to support phased expansion, using the semantic layer to standardize vocabulary and reduce ad hoc querying risk while enabling broader user self service under tightened data stewardship.
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Kroger | Retail | 409000 | $147.1B | United States | Lumi | Lumy AI | Predictive Analytics | 2025 | n/a |
In 2025, Kroger deployed Lumy AI under the Predictive Analytics category to support supply chain analytics in the United States, integrating advanced exception detection into operational workflows. The deployment targeted rapid detection of store item and vendor DC exceptions to accelerate resolution of order and fulfillment gaps.
The implementation ingested eight weeks of OvS order variance data during a pilot and configured Lumy AI to perform demand gap analysis and exception surfacing, identifying 1.2M units of unfulfilled demand. Core capabilities implemented included automated anomaly scoring, demand shortfall classification, and prioritized alert generation to drive downstream investigation.
Kroger connected Lumy AI to its Databricks environment for data access and model scoring, enabling near real time surfacing of store item and vendor DC exceptions to supply chain teams. The operational scope was focused on US supply chain analytics, with outputs routed to existing resolution channels for store level and vendor distribution center issues.
The initial deployment ran as a pilot that established the ingestion, model scoring, and alerting chain for OvS data, and operationalized exception workflows. The pilot reduced issue resolution time from days to minutes, demonstrating a compressed detection to action loop for supply chain operations.
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