Solutions/By Industry/Logistics
Logistics
Supply chain & operations teams

Demand forecasting, optimization, all in one place.

Logistics analytics combines demand forecasting, inventory and routing optimization, and queueing. Skari runs ARIMA/Prophet, regression, machine learning, and OR models — from forecast to decision.

Demand forecastingInventory optimizationQueueing & OR
20
Time-series methods
LP
Optimization models
ML
Demand models
MC
Monte Carlo

THE QUESTIONS

Sound familiar?

The recurring analytical questions in your field — and the methods that answer them.

01

How much demand next week, next month?

02

How much inventory to hold, and where?

03

Routing and network cost minimization.

04

Staffing and throughput under uncertainty.

METHODS THAT FIT

The analyses your work runs on.

Drawn straight from the Statistical & Model Lab catalog — every method with assumption checks and plain-language interpretation.

Demand forecasting

Forecast demand and detect seasonality.

ARIMAProphetExponential smoothingSeasonal decompositionLSTM forecastingForecast evaluation

Optimization & OR

Optimize inventory, routes, and capacity.

Linear programming (LP)Mixed-integer programming (MIP)Queueing modelsMonte Carlo simulationAHP (supplier choice)

Prediction & drivers

Predict delays and cost drivers.

RegressionRandom forest / XGBoostLogistic regression (SLA breach)Anomaly detectionFeature importance

SURVEY LAB

Collect the data too.

Design, distribute, and analyze surveys — the results flow straight into the same analysis engine.

HOW IT WORKS

From data to decision in four steps.

The same guided flow for every method — no coding, no guesswork.

01

Bring your data

Drop in CSV or Excel, or pull from a public dataset. Types are auto-detected.

02

Pick the method

Describe your question — the AI recommends fitting methods straight from the catalog.

03

Run with checks

Assumptions are validated before every run, with plain-language explanations.

04

Report & export

Get a publication-ready report with R / Python code and APA tables.

Bring your data. Get answers.

A publication-ready report in minutes — with reasoning, R/Python code, and an AI tutor.