Demand Planning Software for Supply Chain Teams

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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

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

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Key Features for Demand Forecasting

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.

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Manage demand and inventory in one place

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.

Collaborative forecasts (S&OP/S&OE)

Generate collaborative demand scenarios and then compare actual demand vs. the suggested and collaborative forecasts.

Calculate reorder points and send the values to your ERP

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

Reconciled demand forecasts

Do conversions from currency to units or from units to currency to calculate exactly what you need.

Forecasts for new products

It allows you to predict the demand for product launches without a history of sales.

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.

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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

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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.

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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 plan for demand

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

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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:
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✅ Reduce excess inventory.
✅ Maintain optimal inventory levels to avoid additional costs.

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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 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.

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Demand planning software that gives you forecasts with +95% accuracy using AI