List of FICO Forecaster Customers
Bozeman, 59715, MT,
United States
Since 2010, our global team of researchers has been studying FICO Forecaster 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 FICO Forecaster for Demand Forecasting and Planning 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 FICO Forecaster for Demand Forecasting and Planning include: DoorDash, a United States based Professional Services organisation with 23700 employees and revenues of $10.72 billion, Fleury Sa, a Brazil based Healthcare organisation with 1600 employees and revenues of $500.0 million, Avis UK, a United Kingdom based Professional Services organisation with 328 employees and revenues of $198.0 million and many others.
Contact us if you need a completed and verified list of companies using FICO Forecaster, 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 FICO Forecaster 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!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Avis UK | Professional Services | 328 | $198M | United Kingdom | FICO | FICO Forecaster | Demand Forecasting and Planning | 2010 | n/a |
In 2010 Avis UK implemented FICO Forecaster as a Demand Forecasting and Planning solution to generate system-based forecasts and prescriptive recommendations for fleet distribution, pricing and allocation across its European operations. The deployment centered on supporting fleet management and pricing decision workflows, aligning forecasting outputs with allocation and revenue management processes.
Implementation signals point to the use of FICO Xpress Optimization and likely FICO Xpress Insight as part of the FICO Forecaster implementation, based on public case materials, delivering optimization and forecast user interfaces consistent with the Demand Forecasting and Planning category. Functional capabilities included automated demand forecasting, prescriptive optimization for vehicle allocation, and pricing recommendation workflows to inform operational decisions.
Operational coverage spanned European operations and impacted fleet operations, pricing teams and allocation planning. Public results reported from the implementation include an uplift of approximately two percentage points in fleet utilization and roughly $19M in annual benefits, reflecting system-driven allocation and pricing improvements.
|
 |
DoorDash | Professional Services | 23700 | $10.7B | United States | FICO | FICO Forecaster | Demand Forecasting and Planning | 2023 | n/a |
In 2023, DoorDash implemented FICO Forecaster for Demand Forecasting and Planning, deploying the FICO Forecaster capability to support demand forecasting and operational planning functions across its delivery operations. DoorDash implemented FICO Forecaster to align forecasting inputs with operational planning workflows and solver orchestration for routing and fulfillment decisions.
DoorDash leveraged FICO Xpress Optimization to accelerate delivery-matching and routing decisions in its United States operations, reporting 10–100x faster solve times and enabling higher-quality multi-order routing decisions. The implementation centers on optimization engines and solver orchestration integrated into routing decision support, with functionality aligned to Demand Forecasting and Planning such as scenario-based demand inputs, routing-aware batching logic, and decision automation that bridges forecasting outputs to operational schedulers.
Operational coverage emphasized delivery operations and planning teams in the United States, with the optimization work inferred to feed demand forecasting and operational planning workflows and to be surfaced to business users via FICO deployment tooling. Governance focused on embedding solver results into planning workflows and exposing optimization outputs for business user review, enabling closer alignment between the FICO Forecaster application, optimization engines, and day-to-day routing operations.
|
 |
Fleury Sa | Healthcare | 1600 | $500M | Brazil | FICO | FICO Forecaster | Demand Forecasting and Planning | 2018 | n/a |
In 2018, Grupo Fleury implemented FICO Forecaster, a FICO Xpress Insight based application for Demand Forecasting and Planning. The deployment targeted demand planning and resource allocation across its diagnostic services in Brazil, automating forecast creation workflows and reducing forecast generation time from about one month to roughly 30 minutes.
FICO Forecaster was configured to support demand planning modules and scenario analysis consistent with Demand Forecasting and Planning applications, embedding automated forecast generation, hierarchical forecasting and time series management into operational planning cycles. The solution used FICO Xpress Insight as the analytics and orchestration layer, centralizing model execution and forecast versioning for planning teams. Operational coverage emphasized diagnostic service lines and scheduling functions to deliver higher granularity in demand signals.
Planning governance and cadence were updated to incorporate FICO Forecaster outputs into routine resource allocation reviews and operational planning meetings, with planners adopting the platform for scheduled forecast runs. The implementation delivered reported outcomes including overall MAPE below 10%, forecast creation time of roughly 30 minutes, and expected cost savings through improved resource allocation.
|
Buyer Intent: Companies Evaluating FICO Forecaster
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||