Since 1988Software · AI · Consulting · Data

Forecast with precision. Plan with certainty.

Forecasting software, AI agents, expert consulting, and secure data pipelines that turn demand signals into inventory, supply, and launch decisions your team can stand behind.

Get a Free Geneva Forecasting™ API key

The RoadMap TrailBlazer workspace: a Coca-Cola SKU forecast chart, the Geneva Expert model settings and forecast performance metrics beside a spreadsheet grid.
The AI Forecast Analyst explaining the Coca-Cola forecast: a clear seasonal pattern with annual peaks.

Trusted by Fortune 500 companies and 10 of the Top 25 life science companies

  • Oracle
  • Samsung
  • Dell Technologies
  • Vertex

RoadMap TrailBlazer and the Geneva Forecasting™ API

For demand planners and analysts

RoadMap TrailBlazer

Free Forecasting workspace with AI Agents, in your browser.

  • 40+ models
  • AI Forecast Analyst
  • AI Import Agent
  • Conformal intervals
The RoadMap TrailBlazer workspace showing a Coca-Cola Classic 12-Pack forecast chart, Non-Linear Regression II model settings, forecast performance metrics, and an interactive multi-SKU spreadsheet grid.

Free forever · Pro $34.99/mo

Open RoadMap TrailBlazer

For developers and AI agents

Geneva Forecasting™ API & MCP

Lightning fast forecasting for your app or Claude agent.

  • 1,000 free forecasts/mo
  • Python SDK
  • MCP for Claude, Cursor, Windsurf
The Geneva API Forecast Playground showing a Non-Linear Regression Type 5 forecast chart with a 95% prediction interval, 130ms response time, series input, and model configuration controls.
pip install geneva-forecastGeneva Developer Portal

Demand planning and forecasting consulting since 1988.

RoadMap grew out of the Geneva Forecasting™ Engine, built at Harvard Business School in the 1980s and licensed by Oracle since 1999.

We have spent decades building, validating and running forecasts with Fortune 500 and life science planning teams, and the same people who wrote the engine still work on your model.

1988
Consulting since
$100M+
Saved for clients
10 of 25
Top life science companies
25+ years
Inside Oracle

Geneva Forecasting™ API & MCP

The engine Oracle has licensed for 25+ years. Now one API call.

Automatic best-fit selection across 10 statistical methods. Send a series, get back a forecast, prediction intervals and fit metrics.

Method Non-Linear Regression (Type 5)Transform MPT (Moving Periodic Total)
Geneva forecast chart144 periods of history in navy, a fitted line over the last 48 periods, and a 36-period forecast in dashed green with a 95% prediction interval. The forecast starts at 444 in period 145 and peaks at 691 in period 175.02004006008001224364860728496108120132144156168180
  • Fitted
  • Forecast
  • Historical
  • 95% interval

Forecast rises from 444 in period 145 to a peak of 691in period 175. Mean absolute percentage error on the holdout is 4.4%.

Forecast with 95% prediction interval
PeriodForecastLowerUpper
145444.3363.5525.1
146418.1337.3498.9
147445.8365.0526.6
148487.6406.8568.4
149498.4417.6579.2
150561.1480.3641.9
151647.9567.1728.7
152631.6550.8712.4
153533.4452.6614.2
154486.1405.3566.9
155414.9334.1495.7
156456.6375.9537.4
157468.7387.9549.5
158442.2361.4523.0
159469.7388.9550.5
160511.3430.5592.1
161521.8441.0602.6
162584.3503.5665.1
163670.8590.0751.6
164654.3573.5735.1
165555.8475.0636.6
166508.3427.5589.1
167436.8356.0517.6
168478.3397.5559.1
169490.1409.3570.9
170463.4382.6544.2
171490.7409.9571.5
172531.9451.1612.7
173542.2461.4623.0
174604.5523.7685.3
175690.7609.9771.5
176674.0593.2754.8
177575.3494.5656.1
178527.5446.7608.3
179455.8375.0536.6
180497.1416.3577.9

forecast.py

# pip install geneva-forecast
import os
from geneva_forecast import GenevaClient

client = GenevaClient(
    api_url="https://api.roadmap-tech.com",
    api_key=os.environ["GENEVA_API_KEY"],
)

result = client.forecast(
    data=monthly_sales,  # your history
    horizon=12,
    wave_periods=[12],
    confidence_level=0.95,
    include=["forecast", "prediction_intervals", "metrics", "model_info"],
)
print(result.model_info.method_name, result.metrics.mape)

  • < 200 msAverage latency
  • 1,500+/sThroughput
  • CPU-onlyHardware
  • 15-min → annualGranularity

Claude & Geneva Forecasting™

Add the Geneva MCP server to Claude and ask for a forecast in plain language. Claude picks the model, runs the forecast and builds the dashboard, with performance metrics and prediction intervals

pip install geneva-mcp

Claude using the Geneva Forecast integration to build a 5-year respiratory medicine demand forecast: a Geneva time series chart in the chat and a dashboard with KPI cards, 1.99% model MAPE and a forecast with a 95% prediction interval.

Not sure where to start?

Book a free 30-minute consultation. We'll look at your forecasting setup and tell you honestly whether we can help.

Results from client engagements

All case studies
  • Consumer packaged goodsKraft Foods

    Kraft Foods: trade promotion forecasting

    Kraft Foods partnered with RoadMap Technologies to replace sales-driven overrides with statistical baseline forecasting, econometric promotional lift modeling, and retailer-level profit simulation across its trade planning process.

    Multi-account retail · Trade promotion
  • Life sciencesGenentech

    Genentech: oncology and specialty therapy planning

    Genentech partnered with RoadMap Technologies to unify short-term operational demand forecasts with long-range strategic supply plans across oncology, neurology, and transplant anti-infective therapy portfolios, eliminating the planning disconnects that drove inventory imbalances and capital misallocation.

    0–24 mo. + 3–10 yr. · 3 therapy portfolios
  • HealthcareJohnson & Johnson

    Johnson & Johnson: gross-to-net forecasting and reconciliation

    Johnson & Johnson partnered with RoadMap Technologies to unify class-of-trade demand forecasting with Gross-to-Net financial reconciliation, closing the gap between supply chain planning and net revenue realization across its healthcare portfolio.

    Retail, hospital, specialty & govt. · GTN reconciliation

Frequently asked questions

What does RoadMap Technologies do?

RoadMap Technologies is a forecasting and data science company founded in 1988. We offer consulting services, forecasting software and data services, all built on the Geneva Forecasting™ Engine, the statistical engine Oracle has licensed since 1999.

What is the Geneva Forecasting™ Engine?

Geneva is an expert-system forecasting engine. For each time series it tests 10 statistical methods, tunes their parameters, detects seasonality and outliers, and selects the best fit. Oracle has licensed it since 1999, and it still ships inside Oracle Database 26 OLAP DML.

Which industries do you work with?

Life sciences, healthcare, retail and consumer goods, consumer electronics, media and entertainment, energy and utilities, manufacturing, finance, and government and defense. We have supported Fortune 500 companies and 10 of the Top 25 life science companies.

How fast can we get started?

Most engagements start with a pilot. We typically have a governed demand model running on your data in about two weeks, and most clients see measurable results within 30 days.

Do I need software or consulting?

If your team wants to run forecasts themselves, start with TrailBlazer or the Geneva API. If you need help building, validating and operationalizing models, or connecting them to S&OP, start with consulting. Many clients use both, and we can help you choose.

What's your forecast costing you right now?