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lojipath
Advanced AutoML forecasting solution
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Empower non-technical users with our advanced AutoML forecasting solution.
LOJIPATH IS DEPLOYABLE IN:
AutoML + Streamlined User Experience
lojipath eliminates the challenges your organization faces with forecasting functions to deliver a turn-key experience.
One of the standout features is the integration of GenAI functionality, which allows for boardroom-level discussions around primary forecast drivers. This is a game-changer in the forecasting landscape, enabling executives to query both the input and forecasting output for a much deeper level of understanding and explainability.
- Predicting call center volumes
- Forecasting demand
- Understanding inventory burn
- Predicting staffing requirements
An enterprise-level forecasting solution
Guide decision-making using cutting-edge analytics techniques
Automated feature engineering
Back testing
Gain advanced forecasting insights to drive your decision-making with lojipath.
Use it for:
Simple interface
A user-friendly dashboard lets you quickly write any SQL query to pull in long-form tabular time series data. Just specify the model inputs, and you’re off to the races.
Covariate handling
Go beyond traditional forecasting by incorporating key business drivers and external variables into your predictive models.
Time series profiling
With a single click, generate descriptive statistics, seasonal and trend decomposition, and autocorrelation plots. The system also checks for common time series errors, like gaps in dates and duplicate entries.
Model selection
Choose from a wide range of proven forecasting models, each designed to tackle different types of forecasting challenges.
The system automatically engineers new features based on a default set of best practices tailored for your time resolution (daily, monthly, etc.).
Ensure your model’s reliability by selecting the number of back tests to conduct, validating its performance over time based on your chosen error metric.
Flexibility to send the forecast data directly to a database table or download it as a CSV for further analysis.