List of OneStream Sensible ML Customers
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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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Manufacturing | 20000 | $10.1B | Finland | OneStream Software LLC | OneStream Sensible ML | ML and Data Science Platforms | 2023 | n/a |
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Buyer Intent: Companies Evaluating OneStream Sensible ML
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