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Forecast Demand Reliably for More Informed Decisions

The Dataiku Solution for Demand Forecasting is the gateway to scaling a machine learning- and AI-based approach to trend prediction with a central environment for smarter and more holistic decisions across teams. Say goodbye to guesswork and hello to data-driven sourcing, production planning, inventory management, pricing, marketing, and more.

 

Forecast Demand of Product Categories & SKUs

Predict patterns at the individual product level using historical data sets and personalized parameters (discounts, holidays, marketing events, etc.). 

As a single, centralized platform, Dataiku allows for scale across locations, markets, and products. Whether short, medium, or long-term demand forecasts, everyone has access to the right insights for better business decisions.

SEE THE DEMAND FORECAST EXPLORER IN ACTION
 

Compare Your Demand Forecast Model to Other Baseline Models

The Dataiku Solution for Demand Forecasting includes an interactive dashboard for evaluating, interpreting, and monitoring forecast models. This includes the forecast models benchmark, where you can compare deployed models with other baseline models. This helps ensure the model you’re using is yielding the best possible results.

EXPLORE THE DASHBOARD
 

Perform Seasonal Clustering of Products & SKUs

Analyzing short-term fluctuations in customer demand at different times of the year is critical to accurate demand forecasts. The Dataiku Solution for Demand Forecasting provides a ready-to-use, interactive product seasonality dashboard.

SEE THIS SOLUTION IN ACTION
 

Monitor Past Sales & Project Future Sales

Use the pre-built sales monitoring dashboard included in the Dataiku Solution for Demand Forecasting to keep an eye on sales globally. Quickly identify the most popular items or identify trends by store at a glance.

From there, build the demand forecast scenario of your choice. Leverage the interactive web application to understand future sales of selected products. 

New product? No problem. This Dataiku Solution allows you to easily forecast product sales at the beginning of their lifecycle with cold start modeling.

CHECK OUT THE DASHBOARD
 

Answer Key Strategic Questions

The Dataiku Solution for Demand Forecasting helps answer a broad range of questions like:

  • What products will be the best sellers in three months (sales forecasting)?
  • Why are the sales of some products declining?
  • To which areas should we ship products, and in what quantities?
  • How should I adjust my product purchasing strategy and inventory levels for more effective supply chain management? 
  • Which marketing channels can help boost product purchases?
  • Which discounts and special offers resonate with online visitors?
WATCH THE SOLUTION DEMO
 

Setup in Minutes, Not Weeks or Months

Go from zero to smarter demand forecasting in minutes, not weeks or months. Dataiku Solutions enable users to quickly get up and running with a table stakes machine learning or AI use case.

 

Make It Your Own

Add your historical sales data (transactions) and product data to get started, then build more complexity over time. The Dataiku Solution for Demand Forecasting, along with all Dataiku Solutions, can be infinitely customized to suit your needs as they grow over time. 

READ THE DOCUMENTATION ON DEMAND FORECASTING
 

Go Beyond Demand Forecasting

Why use the Dataiku Solution for Demand Forecasting? Our pre-built project is a fast-track to scaling this foundational machine learning application, opening an accelerated path to markdown, inventory planning, and many more transformational AI use cases. 

But it doesn’t stop there. Dataiku also grows your AI maturity to new heights with the power and flexibility of the full platform.  Execute on innovative, moonshot use cases — including cutting-edge Generative AI applications — with Dataiku.

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The Total Economic Impact™️
Of Dataiku

A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:

70 %+

reduction in time spent on data analysis, extraction, and preparation.

42 %

reduction in time spent on model lifecycle activities (training, deployment, and monitoring).

413 %

return on investment

$ 23 .5M

net present value over three years.

4.8
312 Ratings

Ratings as of February 2024 in the Multipersona Data Science and Machine Learning Platforms Market

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