Supply Chain Management Software with Integrated AI

SupplAI lets you answer questions about demand forecasting, sourcing, and inventory in a conversation, with your data privately integrated.

Dashboard mockup
Schedule demo

Plugin play

It automatically uses information from your ERP, WMS and CRM to calculate your forecasts.

Predictive analytics

It predicts inventory management with, taking into account demand, existing inventory.

Collaborated forecasts

It predicts inventory management with, taking into account demand, existing inventory.

Leading supply chain teams use Datup to improve their results

Equipos líderes en cadena de suministro usan Datup para mejorar sus resultados

Traditional demand planning solutions They don't work for you because:

They don't integrate with your ERP's, WMS and CRM's, so you don't have all the up-to-date data you need to calculate forecasts correctly.

They don't take into account variables such as weather, holidays, leadtimes and political changes that affect demand.
‍

Manual processes of copying, pasting and fixing information that generate human errors and waste you hours.

‍

Key Features for Supply Chain Management with AI

Direct integrations with your ERP, WMS and CRM

Integrations to all the data sources your company uses such as ERP's, WMS and CRM. And if you have a new integration, we can connect directly.

Integration icon

More accurate forecasts thanks to the integration of +200 external variables

Factors such as weather, holidays, lead times, exchange rate and other external factors are analyzed to calculate how they will impact demand and your inventories.

Integration icon
Schedule demo

All S&OP metrics in a single integrated report

Security and Confidentiality

Your data is only handled by Datup and is confidential.
Mockup

Ready-to-use templates

Use and save your prompts to save time on recurring questions.
Mockup

Calculate reorder points and send the values to your ERP

Based on safety stock, supplier supply times and automatically expected demand.

Integration icon

Save your conversations

To keep your most important questions at hand.
Mockup

Classification of products by profitability and behavior with AI

Ranking of SKUs according to turnover, stability and contribution to sales or margin, to prioritize operational decisions.
Mockup

Flexibility to forecast and manage demand with AI

Filter by product and category

Check the demand by category, product or material for differentiated forecasts.

Export your data to Excel

Bring all the data to Excel with a single click to manipulate the data and make custom calculations.

Compare different periods

Compare current forecasts vs. forecasts from past months, quarters, and years.

Share your reports

Share with your team by email, download in PDF or use a link to view the report in real time.

Demand Management Solutions

Demand forecast

Ask about the estimated demand for any product in your portfolio, or the consolidated one. Analyze different scenarios, while collaborating with other teams.

Estás aquí
Arrow - Elements Webflow Library - BRIX Templates

Inventory and Sourcing Management

Optimize your inventory and define what you should buy and when you should buy it. Calculate reorder points, optimize stock levels and synchronize purchases with real demand to reduce bankruptcies and excesses

Conocer más
Arrow - Elements Webflow Library - BRIX Templates

Portfolio performance management

Classify your products by profit margin, turnover and price to find which are the most profitable and strategic, and which you should reevaluate to ensure that you don't have too many low-turnover products in stock.

Conocer más
Arrow - Elements Webflow Library - BRIX Templates

Benefits of AI-powered Supply Chain Software

Implementing Artificial Intelligence (AI) in demand planning can significantly transform the efficiency and accuracy of your business. Discover the most important benefits of DATUP
Forecast automation and error reduction

In Datup's Supply Chain Management software, you can automate the data entry process and inventory tracking, to reduce the likelihood of human error and ensure that the data is more accurate, making it an essential tool for making informed decisions.

Intelligent demand forecasting scenarios
Datup generates forecasting scenarios (base, optimistic and pessimistic) for specific products and locations. This allows strategic decisions to be made in the face of different market conditions, anticipating changes in demand and responding in an agile way.
Dynamic Inventory Optimization
Based on forecasts, the platform dynamically adjusts inventory levels, replenishment times and safety stocks. This prevents stock failures and excesses, improving availability and reducing operating costs.
Improved customer experience through constant availability
Datup ensures that the right product is in the right place at the right time. This increases the order fulfillment rate, reduces stock breaks and significantly improves the end customer experience.
Prescriptive analytics for strategic decisions
Beyond descriptive analysis, Datup provides recommendations for purchase, distribution and replacement. Its prescriptive intelligence guides concrete actions to optimize the operation, maximize margins and ensure availability without excess fixed capital.
Direct impact on cash flow and profitability
By avoiding overstock and adjusting purchases to real demand, working capital is freed up and storage costs are reduced. This translates into a tangible improvement in cash flow and EBIT, boosting business profitability.

Comparison chart of traditional vs. AI supply chain software

Feature Traditional Tool AI-Powered Supply Chain Software
Data Analysis Limited to historical data without prediction capabilities. Analyzes historical and real-time data using AI to detect patterns, predict disruptions, and suggest decisions.
Stock Management Requires manual adjustments based on estimates. Automates replenishment decisions based on projected demand, available inventory, and dynamic lead times.
Inventory Optimization Based on fixed rules and static policies. Dynamic adjustments based on seasonality, turnover, and actual consumption through optimization algorithms.
Data Security Depends on provider or local infrastructure. Cloud infrastructure with advanced security protocols, backups, and regulatory compliance.
Integration Capability May require custom developments for integration. Direct API connectivity with ERP, WMS, CRM, and BI platforms for unified supply chain visibility.
Adaptability Slow changes and infrequent updates. Quickly responds to market changes, adjusting models automatically with new data sources.
Implementation Cost High costs for software, hardware, and customization. SaaS model with lower upfront investment, maintenance included, and demand-based scalability.
Implementation Time Slow due to manual processes and custom configuration. Fast implementation through preconfigured connectors and automated processes.
Support and Maintenance Requires ongoing technical support and local maintenance. Cloud-based centralized support with automatic updates and proactive service.
Forecasting Capability Usually unavailable or based on simple methods. Multidimensional forecasts adjusted in real-time with continuous learning.

How to Use Supply Chain Management with Embedded AI

  1. It collects historical and current sales, inventory, purchasing and logistics data.
  2. Analyze consumption patterns and variations using artificial intelligence algorithms.
  3. Generate accurate demand forecasts adapted to each product and location.
  4. It automatically calculates optimal inventory levels and reorder points.
  5. Recommend actions such as purchases, transfers, or stock adjustments.
  6. Visualize the impact of decisions in dashboards to align key areas.
Schedule demo

Questions you can answer using AI-powered Supply Chain Management software

✅ What should I buy, how much, and when — based on demand, inventory, reorder points, and safety stock?

✅ When and how should I replenish by product and location?

✅ What is the availability, reorder points, safety stock, and stockout dates by product and location?

✅ How will the demand forecast be impacted by regulations, holidays, and seasonality?

Success stories of using AI in inventory control: 3X reduction in inventory volume

Simoniz, a leading company in the automotive sector, manages a portfolio of more than 5,000 products with annual sales exceeding $25 million.

Simoniz integrated its Siesa ERP with Datup's Demand Planning and Optimized Inventory SaaS solution to improve inventory management through artificial intelligence.

The main objectives were:
‍
✅ Reduce excess inventory.
✅ Maintain optimal inventory levels to avoid additional costs.
Read case study

Decrease in inventories

Reduction in the volume of inventories due to oversupply by 160% when comparing the inventory levels forecast by Datup with Simoniz's sales budgets.

Cost savings

Significant savings in storage and operating costs, reaching up to 300 million annually.

Operational Efficiency

Reduction of operational tasks related to inventory management from 80 hours per month to just 2 hours per month, allowing the team to focus on more strategic tasks.

Schedule a personalized demo

What you can expect from the call:
  • ✅ Focused on your needs and how the product can help you solve your business problems.
  • ✅ You will see how the live platform works and we will answer your questions.
  • ✅ Know the price and return on investment of the platform from the start.

FAQs

What is an AI-powered Supply Chain Management system?

It’s an intelligent platform that integrates and optimizes all supply chain processes (purchasing, inventory, demand, production, and logistics) using artificial intelligence algorithms to anticipate needs, automate decisions, and enhance operational efficiency.

What makes AI-based Supply Chain Management software different from traditional ones?

Traditional software relies on static rules and requires manual intervention. In contrast, AI-powered SCM is dynamic: it learns from market behavior, automatically adjusts parameters like safety stocks, and provides full visibility with alerts and simulated scenarios — all in an integrated interface connected to systems like ERP or WMS.

Learn more about Supply Chain Analytics

Supply chain analytics, what is it and how is it used?

Find out what supply chain analysis is and how it can help optimize processes, reduce costs and improve decision-making

Supply Chain Rankings

Rankings or classifications make it possible to identify groups of SKUs that behave in a similar way according to different segmentation criteria.

What are Demand Driven and S&OP?

Learn how Demand Driven and S&OP synchronize your supply chain, reduce costs and improve customer satisfaction with AI and effective planning.

How to forecast demand in Supply Chain correctly

Learn how to make an accurate demand forecast with our guide. Improve planning, reduce costs and optimize your inventories.

Supply Chain and Digital Transformation Trends 2025

Discover the trends in supply chains 2025: analysis of 167 LATAM companies on digitalization, demand forecasting and more.

How to estimate sales of a new product?

Learn how to estimate sales for a new product using data-driven methods, market analysis, and demand forecasting.
Supply Chain Analytics
Datup integrates your data and uses deep learning to predict demand (95%+ accuracy), analyze your inventory, and calculate reorder points, prioritizing your purchases based on location and strategic products.

Schedule demo

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Solutions
Demand Planning Platform
Inventory Management Platform
Resources
ROI Calculator
Case Studies
Simoniz
Content
Blog
Social Media
LinkedIn
Newsletter
Untitled UI logotextLogo
© 2025, Datup.