Operational Decision System

AdamX Forecast

From data to decision — by conversation

Not another dashboard tool. Connect or upload your data and an AI agent models it, forecasts it, builds the interactive dashboard and answers your questions in plain language — with a power-user layer underneath for full control.

Anyone can forecast. Experts can go deeper.

A trend turned into a decision — a conversational agent on top, a full modeling layer underneath.

TIER 1 · AGENTIC FORECASTER ✦ AdamX Assistant Forecast tomorrow's demand Demand forecast ▲ forecast Decision Recommended action ↑ +12% demand · staff +3 TIER 2 · FORECASTER DEVELOPER Measures Relationships Hierarchies Engine Open, tunable semantic model — the human safety net powers the agent
Tier 1

Agentic Forecaster

For the non-technical user. Just ask — the agent connects the data, builds the model, runs the forecast, assembles the dashboard and explains the answer. No query language, no analyst in the loop.

  • Ask in plain Arabic or English
  • Auto-built interactive dashboards
  • Recommended actions, explained
Tier 2

Forecaster Developer

The power-user layer — and the human safety net behind the AI. Open the same model to refine relationships, measures and hierarchies, tune the forecasting engine and validate with backtesting.

  • Semantic model: measures, relationships, hierarchies
  • Tune and swap forecasting models
  • Backtesting and model selection

A Decision System, Not a Dashboard Tool

Conversational Forecasting

Ask "what do you want to forecast today?" and get a model, a forecast and a dashboard — in plain language, no SQL.

Connect or Upload Any Data

Pull from AdamXConnect, an external database or an API — or just upload a file. The agent checks data readiness automatically.

Dashboards That Build Themselves

The agent assembles interactive dashboards from templates that fit your goal — staffing, demand, executive digest, anomalies.

An Open Semantic Model

Power users refine measures, relationships and hierarchies — the human safety net that keeps the AI grounded.

Forecasting Engine + Backtesting

Multiple time-series models, selected and validated against your own history — with transparent accuracy and model-selection notes.

Recommended Actions

Every forecast ends in a decision — a clear recommended action and an executive insight, not just a chart.

Privacy Boundary

A clear privacy boundary with automatic PII masking — PDPL-ready, so sensitive fields never leave their bounds.

Anomaly & Root Cause

Spot deviations before they hurt and trace them to their root cause — automatically.

Decisions Across the Business

1

Demand & Workforce

Forecast call volume, demand peaks and staffing needs — plan Ramadan, seasons and launches with the right headcount.

2

Revenue & Growth

Project revenue, churn and pipeline from your own data — and test the impact of a change before you make it.

3

Anomaly & Risk

Catch unusual patterns early and surface the root cause before they become incidents.

4

Executive Decisions

A weekly executive digest that turns the numbers into a recommended action leadership can act on.

From Data to Decision in Three Steps

01

Connect or Upload

Point Forecast at AdamXConnect, a database or an API — or upload a file. It checks data readiness for you.

02

Ask in Plain Language

Tell it what you want to forecast. The agent builds the model, runs it and assembles the dashboard.

03

Decide

Get a forecast, an interactive dashboard and a recommended action — with experts able to open the model anytime.

Common Questions About AdamX Forecast

Do I need to know SQL or be an analyst?
No. Tier 1, the Agentic Forecaster, is fully conversational — you ask in plain Arabic or English and it builds the model, forecast and dashboard for you. No query language, no analyst required.
Can power users go deeper than the agent?
Yes. Tier 2, the Forecaster Developer, opens the same model so experts can refine relationships, measures and hierarchies, tune the forecasting engine and validate with backtesting — the human safety net behind the AI.
What data can I connect?
Connect AdamXConnect, an external database or an API, or simply upload a file (CSV/Excel). Forecast runs a data-readiness check and masks PII automatically before modeling.
How accurate are the forecasts?
Forecast selects from multiple time-series models and validates them against your own history with backtesting. Accuracy improves with data; it typically reaches 85-92% for volume and 80-88% for satisfaction-style indicators within 90 days.
Is my data private?
Yes. A clear privacy boundary masks PII automatically and keeps sensitive fields within bounds — PDPL-ready by design.
Does Forecast connect to the rest of AdamX?
Yes. It reads from AdamXConnect and the shared AdamX knowledge core, and feeds insights back — performance gaps can flow into Copilots and Learning automatically.

Stop Staring at Dashboards. Start Deciding.

See AdamX Forecast turn your data into a decision — live, by conversation.

Or reach us at [email protected]