List of OneStream Sensible ML Customers
OneStream Software
191 N. Chester Street,
Birmingham, 48009, MI,
United States
Birmingham, 48009, MI,
United States
1 248-650-1490
Professional Services
1500
$571M
Since 2010, our global team of researchers has been studying OneStream Sensible ML 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 OneStream Sensible ML for ML and Data Science Platforms 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 OneStream Sensible ML for ML and Data Science Platforms include: Costco, a United States based Retail organisation with 333000 employees and revenues of $254.45 billion, Stora Enso, a Finland based Manufacturing organisation with 20000 employees and revenues of $10.06 billion, Polaris, a United States based Manufacturing organisation with 18500 employees and revenues of $8.93 billion, Autoliv USA, a United States based Automotive organisation with 4321 employees and revenues of $1.10 billion and many others.
Contact us if you need a completed and verified list of companies using OneStream Sensible ML, 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 OneStream Sensible ML 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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Autoliv USA | Automotive | 4321 | $1.1B | United States | OneStream Software LLC | OneStream Sensible ML | ML and Data Science Platforms | 2022 | Inlumi |
In 2022 Autoliv USA implemented OneStream Sensible ML, using the ML and Data Science Platforms capability to unify demand planning with financial goals across Sales, Operations and Finance. OneStream Sensible ML was positioned as an extension of a single OneStream platform for unified business planning and reporting, delivering a global view of profitability and SKU level planning across the vertically integrated business.
The implementation focused on granular forecasting and reporting, with Sensible ML producing daily level forecasts and leveraging Auto AI to bring in new drivers representative of current business conditions. Functional capabilities configured include demand forecasting at part number granularity, supply oriented forecasting, frequent automated forecast generation, dashboards and data blending for detailed P and L analysis, and master data governance embedded into the planning model.
Integration work unified sales and purchasing data into the OneStream planning and reporting environment to support combined financial and operational forecasts, enabling cross functional data flows from demand planning into finance. The programme was delivered with OneStream Diamond level partner Inlumi, which supported implementation, technology configuration and the articulation of process and transformation use cases across the finance office.
Governance updates standardized processes from operations to finance and strengthened master data management to ensure data integrity throughout planning and reporting workflows. Explicit benefits reported from OneStream Sensible ML include improved recognition of underlying demand trends, reduced volatility and premium freight exposure, smoother labor planning with less overtime variability, and increased forecast accuracy leading to reduced excess inventory, together with faster ability to pivot forecasts in response to Covid market disruptions.
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Costco | Retail | 333000 | $254.5B | United States | OneStream Software LLC | OneStream Sensible ML | ML and Data Science Platforms | 2022 | Inlumi |
In 2022 Costco implemented OneStream Sensible ML as an extension of its OneStream Intelligent Finance platform to unify demand planning with financial goals, embedding ML and Data Science Platforms capabilities into planning and forecasting workflows. The deployment emphasized linking demand forecasts to financial budgets and rolling three month forecasts while providing guided analytics and operational dashboards for warehouse managers.
The project followed an 18 month implementation plan, executed with implementation partner Finit Solutions and SI VAR Inlumi, and targeted financial close, consolidation, reporting, cashflow, and budgeting workflows. The rollout enabled budget input for 4,000 users worldwide and created intuitive dashboards that give warehouse managers visibility into key metrics and business trends, simplifying annual budgeting and monthly forecast updates.
OneStream Sensible ML was configured to support demand planning models, guided analytics, drill path exploration, and drill through to transaction level detail in SAP ERP for warehouse level analysis. Functional modules implemented include consolidation and close, P and L reporting, variance commentary, task management, workflow, cashflow reporting with automated roll forward logic, and ML driven demand planning tied to budgeting and forecasting.
Integrations were implemented to surface transactional detail from multiple SAP and i Series ERPs, and the solution consolidated data previously dispersed across Excel and Cognos BI into a single system of record for close and reporting. The implementation also included Finit Solutions DrillIt tooling to enhance drill down and reviewer workflows, producing fully exportable multi tab results for detailed investigation.
Governance changes centralized workflow and task management within OneStream, shifting owner review activity into the platform and enabling clearer visibility for accounting and finance teams. Explicit outcomes reported by Costco include the creation of 4,000 power users, reallocation of 25% of FTE time to value added work, a shift of three days from preparation to analysis of financial results, and materially faster cashflow preparation and review within the platform.
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Polaris | Manufacturing | 18500 | $8.9B | United States | OneStream Software LLC | OneStream Sensible ML | ML and Data Science Platforms | 2018 | OneStream Software |
In 2018, Polaris selected OneStream and initiated a multi phase deployment that later incorporated OneStream Sensible ML. OneStream Sensible ML is positioned within Polaris’s ML and Data Science Platforms footprint to operationalize finance driven machine learning for planning and forecasting.
The implementation built on a unified OneStream platform that Polaris had rolled out for financial consolidations, external and management reporting, and FP&A, with OneStream Software serving as implementation partner. Sensible ML was configured to extend Polaris’s Driver Based Revenue Model, ingesting historic shipped units and product level drivers to produce driver based forecasts. The pilot focused on the North American Off Road Products GBU with a 12 month forecast horizon and model inputs that included commodity prices, presold orders, clean build percentages, and build to ship durations.
Data architecture and functional modules combined a historic data model of 181 products with weekly units from 2016 through 2022, commodity price time series for steel and aluminum, and event calendars to generate and compare over 2,800 machine learning models. Sensible ML was integrated into the existing planning workflow, running monthly and feeding model outputs into the drive based forecast processes within OneStream. Analytic Blend and Account Reconciliations modules were part of the broader OneStream deployment that provided VIN and customer level data enrichment for finance and analytics teams.
Governance and operational ownership were placed within the Office of Finance and the Polaris Data Science team, enabling a finance run ML forecasting process with business accessible model transparency via an internal Value Add Dashboard. The rollout path moved from technical preview to productionization of the Driver Based Revenue financial planning model, with plans to expand forecast horizons and to ingest an additional 20 to 30 economic and promotional features for ongoing model refinement.
Outcomes reported by Polaris included materially faster forecast cycles, reducing forecasting from days to hours, improved forecast accuracy relative to prior approaches, and greater transparency into feature level drivers that allowed finance and product teams to inspect and improve models. The implementation demonstrated the integration of OneStream Sensible ML into enterprise planning processes across finance, FP&A, and product line forecasting within Polaris.
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Stora Enso | Manufacturing | 20000 | $10.1B | Finland | OneStream Software LLC | OneStream Sensible ML | ML and Data Science Platforms | 2023 | n/a |
In 2023, Stora Enso implemented OneStream Sensible ML to enhance scenario simulation and forecasting across its finance and operational planning functions. The deployment leverages ML and Data Science Platforms capabilities to embed machine learning directly into forecasting workflows and what-if scenario analysis.
The implementation consolidated multiple business processes within the OneStream platform, enabling historical data analysis, interactive dashboards for forecasts and what-if scenarios, and Sensible ML driven scenario simulation. Key functional capabilities implemented include automated forecast generation, driver explainability to surface feature importance for commodity prices and spending trends, and a robust data pipeline to produce forward-looking predictions.
Sensible ML integrates with Stora Enso's existing OneStream planning workflows so FP&A teams and operational analysts can consume ML predictions inside their driver-based forecasting process. The initial operational coverage targeted three use cases, commodity rates for pulp and wood, commodity rates for chemicals, and accounts payable spending trends, and incorporated external macroeconomic indicators as features.
Governance focused on embedding ML outputs into existing planning, reporting and dashboard processes to maintain financial process consistency while enabling rapid generation of new predictions. Early results reported by Stora Enso include improvements in forecast accuracy compared to traditional methods, increased planning efficiency and enhanced driver explainability, with the company positioning this as an initial phase to be scaled across additional use cases via the implemented data pipeline.
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Buyer Intent: Companies Evaluating OneStream Sensible ML
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating OneStream Sensible ML. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating OneStream Sensible ML for ML and Data Science Platforms include:
- TLC Technologies, a United States based Professional Services organization with 50 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
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TLC Technologies | Professional Services | 50 | $5M | United States | 2024-06-21 |
FAQ - APPS RUN THE WORLD OneStream Sensible ML Coverage
OneStream Sensible ML is a ML and Data Science Platforms solution from OneStream Software LLC.
Companies worldwide use OneStream Sensible ML, from small firms to large enterprises across 21+ industries.
Organizations such as Costco, Stora Enso, Polaris and Autoliv USA are recorded users of
OneStream Sensible ML for ML and Data Science Platforms.
Companies using OneStream Sensible ML are most concentrated in Retail, Manufacturing and Automotive, with adoption spanning over 21 industries.
Companies using OneStream Sensible ML are most concentrated in United States and Finland, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of OneStream Sensible ML across Americas, EMEA, and APAC.
Companies using OneStream Sensible ML range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 25%, and global enterprises with 10,000+ employees - 75%.
Customers of OneStream Sensible ML include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified OneStream Sensible ML customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.