AI Powered Demand Planning Software: Forecasts with +95% Accuracy

Plan your supply chain demand, manage your inventory and evaluate the performance of your portfolio in a single tool.

Inventory Management Software for Supply Chain Teams
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Leading supply chain teams use Datup to improve their results

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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

Create collaborative forecasts with finance, marketing, and sales teams (S&OP/S&OE).

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 Demand Forecasting Software

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.

Ver todas las integraciones
Integracion Software Planeacion de la Demanda

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.

Volatilidad de la planeacion de la demanda

Manage demand and inventory in one place

Make visible 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.
Inventory Management Software for Supply Chain Teams: Control Stock Levels

Collaborative forecasts (S&OP/S&OE)

Generate collaborative demand scenarios and then compare actual demand vs. the suggested and collaborative forecasts.
Supply Chain Inventory Management Software: Analyze your turnover rate

Calculate reorder points and send the values to your ERP

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

Supply Chain Inventory Management Software: Calculate reorder points

Reconciled demand forecasts

Do conversions from currency to units or from units to currency to calculate exactly what you need.
Inventory Management Software for Supply Chain: forecast accuracy visible

Forecasts for new products

It allows you to predict the demand for product launches without a history of sales.
Inventory Control Software: filter by product, channel or location

Flexibility to forecast and manage demand

Supports granular data: filter by product, category and sales channel

Check demand by category, product or channel 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.

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.

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.

Benefits of AI-powered demand planning 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

With Datup, you eliminate the dependency on spreadsheets and manual processes. Our platform automates the processing of historical data and generates demand forecasts with artificial intelligence models, reducing human errors and improving the quality of planning.

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 table: traditional tools vs demand planning tools with AI

Feature Traditional Tool AI-Powered Demand Planning Tool
Data Analysis Limited to historical data without prediction capabilities. Uses predictive models and machine learning to anticipate demand based on multiple data sources.
Stock Management Requires manual adjustments based on estimates. Generates inventory projections aligned with expected demand, automatically optimizing stock levels.
Inventory Optimization Based on fixed rules and static policies. Dynamic adjustments based on projected demand, seasonality, and consumer behavior.
Data Security Depends on the provider or local infrastructure. Cloud-based solutions with high security standards and data backup.
Integration Capability May require custom development to integrate. Easy integration with ERP, CRM, and other platforms for end-to-end planning consolidation.
Adaptability Slow changes and infrequent updates. High adaptability to demand shifts and new market scenarios.
Implementation Cost High costs due to software, hardware, and customization. SaaS model with quick deployment and lower initial investment.
Implementation Time Slow due to manual processes and personalized setup. Agile implementation thanks to automated tools and immediate connectivity.
Support and Maintenance Requires ongoing technical support and local maintenance. Centralized cloud support with frequent updates and automatic improvements.
Forecasting Capability Generally unavailable or based on basic methods. Advanced demand forecasts, adjusted in real time and automatically calibrated with historical data.

How to do demand planning?

  1. Integrate all your data sources to access historical data.
  2. Select the solutions you want: demand forecasting, inventory management and portfolio optimization.
  3. Analyze the different scenarios: suggested, upward and downward.
  4. Create your own collaborative forecast with sales estimates.
  5. Analyzes forecast accuracy, savings generated, customer satisfaction, inventory levels

Demand Questions You Can Answer Using Demand Planning Software

✅ What will be my demand forecast for each product and location: DC, Channel, Supplier, or Point of Sale?


✅ What will be my demand in 1, 3, or 6 months for each product?


✅ What is the monthly savings that the supply chain is generating for the company?


✅ What is the accuracy of my forecast by category?


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


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

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 the best supply chain software?

When choosing supply chain software, consider these key criteria:

Analytics capabilities: Look for a solution that offers predictive and prescriptive analytics, not just historical data.
Data integration: Ensure it can integrate various data sources (ERP, sales, marketing, external) for a unified view.
Ease of implementation and expert support.
New product handling: Based on history of similar items.
Pricing model: Check whether it charges per user or other criteria for fairness and flexibility.

If your company generates over USD 10 million in revenue and faces challenges like returns, stockouts, or excess inventory, Datup is your strategic ally. Unlike traditional ERPs, manual-model forecasters, or one-size-fits-all methods like DDMRP, Datup is an advanced analytics platform that:

- Integrates ERP, CRM, IoT, and external data for granular and aligned forecasts.
- Combines 100+ AI models to automatically simulate optimal future scenarios.
- Provides dynamic recommendations to minimize cost and maximize OTIF.
- Enables real-time collaboration across Planning, Purchasing, Sales, and Finance.
- Is quickly implemented with expert support, delivering results in weeks.

With Datup, you can enhance visibility, agility, and profitability to exceed customer expectations and enable sustainable growth. The time to transform your supply chain is now — Datup is your trusted copilot.

What is demand planning?

Demand planning is the process of forecasting future sales at a granular level (by product, channel, region, etc.) using advanced statistics and artificial intelligence. It aims to align supply chain operations (procurement, production, distribution, inventory) to market needs profitably and efficiently.

How do you perform demand planning?

Demand planning can be done through trend analysis, customer surveys, market research, or AI-based forecasting for more accuracy. Specialized software is essential to handle large data, detect patterns, and create accurate forecasts.

A platform like Datup is ideal, as it integrates with multiple sources (ERP, CRM, external), applies AI to generate granular forecasts and simulate future scenarios automatically, and provides dynamic suggestions to align inventory, procurement, and sales.

Besides internal factors like sales and marketing, external conditions like weather, economy, and market trends should be considered. The plan must be reviewed regularly to reflect real demand changes.

Datup demand planning software supports granular data at the SKU and location level?

Yes, Datup is a demand planning software that supports highly granular data at the SKU and location levels, making it an excellent value for money option for large companies. Currently, Datup has enterprise clients such as Colgate, Grupo Bimbo, Procaps, and Juan Valdez.

How can AI demand forecasting improve procurement decisions?

AI in demand forecasting and supply chain optimization can positively impact procurement decisions. Datup, as an AI-powered demand planning software, offers intelligent reordering recommendations based on your partners' inventory policies, recommending the exact quantity and timing to reorder your inventory, improving availability, costs, and storage profitability. Additionally, it offers collaborative demand forecasts that allow the different departments involved in procurement decisions to align.

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.
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