S&OP with AI for Supply Chain, Sales & Marketing

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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 S&OP in your company

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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All S&OP metrics in a single integrated report

Make demand and forecast visible in real time

Plan ahead and align all areas with a single updated demand projection.

Control your inventory according to the S&OP and S&OE plan

Avoid bankruptcies or excesses by ensuring that available stock responds precisely to projected demand, aligned with marketing, sales and finance teams.

Calculate reorder points and send the values to your ERP

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

Automate sourcing and reorder points

It generates replacement recommendations based on real-time data, reducing operational burden and human errors.

Classify products by impact

It prioritizes decisions based on each product's contribution to sales, profitability, frequency and stability.

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 sales and operations planning (S&OP) software

Implementing Artificial Intelligence (AI) in your S&OP planning can significantly transform the efficiency and accuracy of your business. Discover the most important benefits of DATUP.

Multi-scenario collaborative forecasting

In Datup's inventory control software, it generates projections of sales and base, optimistic and pessimistic demand, adjusted for marketing campaigns, seasonality or product launches.

Demand-aligned supply planning

Our AI for S&OP teams predicts demand by analyzing sales and trends, optimizing replenishment and avoiding product excesses or shortages. This allows companies to replenish at each location more efficiently.

Comprehensive view of the business in a single dashboard

View sales, demand, inventory and sourcing for each product, channel, supplier or location.

Integration with your systems

Easily connect your ERP, CRM, BI or Excel to consolidate sales, inventory and supplier data.

Accuracy Assessment and Savings

Month by month measure savings due to improved forecast accuracy and the financial impact of your planning decisions.

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 table: traditional tools vs S&OP planning tools with AI

Feature	Traditional Tool	AI-Powered S&OP Planning Tool
Data Analysis	Limited to historical data without future projection capabilities.	Analyzes real-time data using predictive models and machine learning to anticipate scenarios.
Stock Management	Based on manual adjustments and isolated estimates.	Aligned to forecasts, automatically adjusts inventory based on projected demand.
Inventory Optimization	Based on fixed rules and generic policies.	Dynamic and adaptive, considering turnover, future demand, and business strategy.
Data Security	Depends on local hardware or service provider.	Cloud infrastructure with high security standards and regulatory compliance.
Integration Capability	May require custom development to integrate with other systems.	Designed to easily integrate with ERP, CRM, and other key platforms.
Adaptability	Slow and expensive changes, with limited flexibility.	Highly adaptable and scalable with agile AI-driven updates.
Implementation Cost	High costs associated with infrastructure, licenses, and support.	SaaS model, with scalable costs based on usage and no local infrastructure required.

How to plan S&OP with AI

Connect your sales, inventory and purchase data to Datup.
Generate automatic forecasts with scenarios (base, optimistic, pessimistic).
Identify key products based on turnover, margin and stability.
Compare projected demand with capacity and availability.
Review purchase, stock and transfer recommendations.
Validate the plan with the teams and execute it from a unified panel.

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Questions you can answer using inventory management software

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

✅ What are the current inventory levels for each product or product category?

✅ Where are the bottlenecks or mismatches between supply and demand in a category?

✅ Which products or categories are most profitable and should be prioritized for the next cycle?

✅ How are inventories of raw materials and components being managed?

✅ Which products will have higher or lower turnover by location and category?

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 S&OP system (Sales and Operations Planning)?

It is a collaborative process that aligns sales, operations, and finance to anticipate demand, adjust supply, and make strategic decisions based on real and projected data.

How to evaluate an S&OP plan?

By comparing forecast vs. actual demand, measuring WMAPE and goal achievement. Datup facilitates this evaluation with AI, dashboards, and real-time actionable recommendations.

What is an S&OP software?

It is a digital tool that centralizes sales, inventory, and operations data to enable collaborative planning. Datup enhances this process with AI to make it predictive and efficient.

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S&OP software with AI for supply chain, sales and marketing teams