AI Demand Forecasting Free PoC Event (Limited to the First 20 Companies)

Is AI Demand Forecasting Possible for Our Company?

Check the answer in just two weeks—for free.
If rapid adoption or a traditional PoC felt burdensome, this Free PoC Event allows you to test AI demand forecasting quickly with a small number of items and explore how the results can be applied directly to your operations.

Recently, demand forecasting has become more crucial than ever in manufacturing, distribution, and retail. With the rapid advancement of AI, forecasting accuracy has already become a key competitive indicator across the industry.

However, many companies have shared that PoC processes are often complicated and costly, making it difficult to take the first step.
To address this, Impactive AI is launching a lightweight and easy-to-join Free DeepFlow PoC Event that enables companies to experience AI demand forecasting without burden.

‍

AI Demand Forecasting – Free PoC Event

• Eligibility: Any company needing demand forecasting (manufacturing, distribution, retail, etc.)
• Cost: Free
• Duration: Within 2 weeks‍
• Application Period: Until December 2025 (may close early once 20 companies are selected)

This event minimizes the PoC steps, requiring only a subset of item-level data. DeepFlow’s AI model will automatically analyze the dataset and deliver the results in a report format.

‍

Free PoC Process

1. Submit Application
   👉 Apply through the Contact Us page.
2. Consultation
   Guidance on required data (e.g., sales, inventory).
3. AI Forecasting
   DeepFlow’s demand forecasting model runs automated analysis.
4. Report Delivery (within ~2 weeks)
   
   • 7-week forecasts for selected items
   • Forecast accuracy metrics
   • Key insights summary
   • Recommendations on future demand forecasting data and model setup

‍

What You Will Receive

Wondering whether AI predictions will actually work for your company? This PoC provides clear answers with numbers and visualizations.

The report includes:

• Forecast Accuracy Metrics (MAPE, RMSE, etc. compared to actual data)
• Predicted Values for each item (7-week forecasts)
• Insights Summary (e.g., which variables impact forecasting the most)
• Consulting Feedback on future data strategy and model configuration

‍

How This Differs from a Paid PoC

This event is carried out with fewer items compared to a full paid PoC, and some of the company-specific modeling steps performed during full-scale onboarding are not included.
Because this is a lightweight trial designed for accessibility, the actual implementation can achieve even higher accuracy than the free PoC results.

If you want to quickly validate DeepFlow’s performance using your real data, we recommend trying the Free PoC. You can also proceed to a full PoC afterward if needed.

‍

Recommended For

• Companies who want to verify whether AI demand forecasting is applicable to their products
• Teams seeking to apply AI to S&OP or sales/production planning
• Practitioners who want to reduce time spent on inventory or production management

‍

How to Apply

1. Click [Contact Us] on the top right of the website
2. Enter your company information and request a Free PoC
3. Click Submit Inquiry
   

Experience AI demand forecasting and data-driven decision making—apply now before all 20 spots are filled.

👉 Apply for the Free PoC Now

※ Notes

• The event may close early once 20 companies are confirmed.
• Depending on your available data, free participation may not be possible.
• Report delivery may take longer than 2 weeks depending on event volume.

‍

💻 About DeepFlow

DeepFlow is an AI solution that automates complex demand forecasting, optimizes inventory management, and supports data-driven decision-making.
By utilizing over 200 advanced deep learning and machine learning models, it achieves industry-leading forecasting accuracy across shipment and sales data.

Based on this high accuracy, DeepFlow helps companies reduce costs and improve operating margins.
In real-world deployments, companies have achieved over 30% inventory cost reduction and up to 80% reduction in manual workload.

‍