Inventory Management Software for Supply Chain Teams

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 managing your inventory

Direct integrations with your ERP, WMS and CRM

Integrations to all the data sources that your company uses, such as ERP's, WMS and CRMs.

And if you have a new integration, we can connect directly.

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.

Schedule demo

All inventory management metrics in a single integrated report

Control stock levels

It allows you to visualize deviations and anticipate problems with excess or lack of inventory.

Analyze your turnover rate

Analyze the turnover by product, category, quantity, revenue and rotation speed by product

Calculate reorder points and send the values to your ERP

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

Make visible the savings and the accuracy of your forecast

We calculate month by month how much savings you are generating thanks to the accuracy of the forecasts and how much the accuracy rate was.

Filter by vendor, product or location

View your segmented stock, so you can have accurate inventory information in one place.

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

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

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

Benefits of Inventory Management Software

Implementing Artificial Intelligence (AI) in inventory control can significantly transform the efficiency and accuracy of your business. Discover the most important benefits of DATUP.

Automation and error reduction

In Datup's inventory control 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.

Demand forecasting and intelligent replenishment

Our inventory control AI predicts demand by analyzing sales and trends, optimizing replenishment and avoiding excesses or shortages of products. This allows companies to replenish at each location more efficiently.

Optimization of storage space

Our AI analyzes sales data and trends to optimize inventory levels. By accurately predicting demand, it reduces excess stock, minimizing storage costs and improving operational efficiency.

Improved customer experience

By ensuring that the right products are available at the right time, AI improves the customer experience. The ability to respond quickly to changes in demand ensures that customers find what they need without delay.

Prescriptive data analysis

AI performs prescriptive data analysis, offering concrete recommendations for optimizing the supply chain. It suggests specific actions to generate savings, improves strategic decision-making and proposes operational adjustments to maximize the efficiency of your company.

Improved cash flow and EBIT

Improved cash flow and EBIT: Optimizing inventory reduces excess capital tied up in stock, freeing up cash for other needs. This improves cash flow and, by reducing inventory maintenance costs, increases EBIT, increasing the company's overall profitability.

Comparison chart of traditional inventory software vs AI inventory

Feature	Traditional Inventory Tool	AI-Powered Inventory Tool
Adaptability	Changes and updates can be slow and costly.	Highly adaptable and scalable, with frequent AI-based updates.
Data Analysis	Limited to historical data with no prediction capabilities.	Uses predictive analytics and machine learning to anticipate demand.
Integration Capability	May require significant customization to integrate with other systems.	Designed to easily integrate with various platforms and ERP systems.
Forecasting Capability	Generally not available.	Accurate forecasts for demand and replenishment based on multiple variables.
Implementation Cost	May include additional hardware and software costs.	Usually offered as SaaS, reducing initial implementation costs.
Stock Management	Requires manual adjustments based on estimates.	Automatically adjusts stock levels in real time.
Inventory Optimization	Based on fixed rules and reorder policies.	Dynamic, considering market trends, future demand, and other factors.
Data Security	Depends on local infrastructure or provider limitations.	Usually offers advanced cloud security and regulatory compliance.
Support and Maintenance	Often requires external assistance and regular maintenance.	Continuous updates and support through the cloud platform provider.
Implementation Time	Can be lengthy due to manual configuration and training requirements.	Faster thanks to automation and AI’s continuous learning.

How to manage inventories

Integrate all your data sources to access historical data.
Look for key features: demand forecasting, inventory management and portfolio optimization.
It analyzes different scenarios: suggested, upward and downward.
It allows collaboration to create accurate forecasts.
Evaluate performance with clear metrics: accuracy, savings, customer satisfaction, and inventory levels.

‍

Schedule demo

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.

FAQs

What is inventory software?

Inventory software is a digital tool designed to help businesses manage and maintain a detailed, real-time record of their stock. Its purpose is to track quantity, location, and movement of products within an organization.

This type of software automates processes from receiving raw materials to the dispatch of finished goods, reducing human error and improving operational efficiency.

Having inventory control allows for accurate stock tracking, optimized storage, and forecasting of restocking needs, avoiding shortages or surpluses.

Additionally, features like reporting, order tracking, lead time monitoring, safety stock definition by product, and integration with other systems make these tools strategic allies for decision-making.

What is the best software for inventory management?

The best inventory management software is one that integrates Artificial Intelligence (AI) to forecast demand and optimize stock levels.

Systems like DATUP incorporate AI to analyze historical data and external variables, improving demand prediction accuracy and planning.

These advanced solutions help avoid both inventory shortages and overstocking, ensuring that the right products are available at the right time and place.

What should I look for in inventory management software?

Some key features to look for include:

Comprehensive functionality for inventory tracking.
Integration with systems like ERP, CRM, or e-commerce platforms.
Intuitive and user-friendly interface.
Capability to generate detailed reports and analytics.
Available technical support and training.
Robust security measures and automatic backups.
Customization and scalability as the business grows.

Why is integration important?
It allows for seamless synchronization and centralized management, improving efficiency and accuracy.

How to evaluate cost-benefit?
Look for software with a good return on investment that fits your budget.

What inventory metrics can I analyze with Datup?

With Datup, you can analyze key metrics from your supply chain, including:

Inventory levels: Available stock per product and location.
Inventory turnover: Frequency of sales and replenishment.
Days of inventory: How many days the current stock will last.
Inventory cost: Expenses related to storage and obsolescence.
Order cycle time: From request to delivery.
Supplier lead time: Time suppliers take to deliver.
Reorder point: Minimum stock level that triggers a new order.

What is ABC inventory?

ABC inventory is a classification technique that groups products based on their value or economic impact:

Class A: High-value items that represent 20% of inventory but 80% of total value.
Class B: Medium-value products with less impact than Class A.
Class C: Low-value products that make up the bulk of the volume.

This method helps focus resources on the most critical items for the business.

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.

Inventory management software with +95% accuracy using AI