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Siesa for demand planning with AI

Siesa for demand and production planning with AI

Optimize your demand and production planning by integrating Siesa with Datup. Connect your data and harness the power of predictive technology to predict with greater certainty, plan with more precision and better coordinate between areas.
5-star rating
5.0
de 20+ integraciones

Leading companies in supply chain use Datup to improve their results

Benefits of empowering Siesa for demand planning with AI and Datup

Full oversight of the operation

Centralize data from key areas such as purchasing, sales, finance and logistics on a single platform. Decide with consistent, real-time data, without relying on isolated documents or different versions.

Intelligent forecasts using AI

Leave traditional, repetitive methods behind. Our AI analyzes how your products are moving and creates reliable forecasts, aligned with your operating context.

A single forecast shared by all key teams

Areas such as sales, logistics, finance and supply aligned around a single projection. Less noise, more coordinated decisions and collaborative action.

Simple and easy to use interface

Designed for teams that need agility, without permanent technical dependence. Start using it without friction or external support.

Progressive growth

Expand your operation without technological obstacles. Datup accompanies your growth, regardless of the variability in products or territories.

Operational processes, automated

From forecasting to intelligent replenishment and inventory rotation. It automates the operational and frees up time for the strategic.

Features of the Siesa integration for demand planning

Automatic purchase reorder

The Datup reorder module generates automatic purchase recommendations based on real demand, available stock and supplier delivery time. The platform analyzes this data to suggest what, how much and when to replace, without the need for spreadsheets or manual calculations.

Reorden de Inventarios Datup

Forecasting and demand planning

Datup connects to Siesa to read sales and order histories, and converts them into actionable forecasts. Siesa considers seasonality, promotions and trends to generate accurate predictions, listed by item, customer, location or sales channel. This allows us to align purchasing, production and logistics with realistic demand scenarios.

Smart tips for decision-making

Datup generates dynamic reports (playbooks) that, when connected to data in Siesa, deliver specific actions, such as suggested purchase orders, overstock alerts, or recommendations for adjusting inventory policies. These documents are automatically updated and are ready for decision-making at each operational meeting.

Asistente Conversacional Alaia Datup

Simple and easy to use interface

With the integration to Siesa, AlAia, Datup's AI assistant, answers questions such as “which items are at risk of breakage?” , “How many units should I replace this week?” or “which supplier is lagging the most?” Speak your same operating language, without codes or technical commands.

Sugerencias Automáticas con datos de tu ERP Datup

S&OP and S&OE collaboration

The integration makes it possible to align strategic planning (S&OP) with operational execution (S&OE). With all the data connected from Siesa, purchasing, sales, finance and logistics teams can work on a single source of truth, prioritizing decisions and reacting quickly to deviations in demand or supply.

Módulo de colaboración S&OP y S&OE Datup

Optimized inventory distribution

With the visibility offered by Siesa, Datup optimizes distribution between storage centers or points of sale. It identifies where there is overstock or lack of stock, and suggests internal movements or direct purchases, improving the use of capital and reducing delivery times.

Distribución optimizada Inventarios Datup

How is the integration process between Siesa and Datup?

1

Connecting to your system

We identify the most efficient type of integration for your operation (API, Data Warehouse or files) and connect directly to your system or other key sources.

2

Structuring and training

We extract data from your system, structure it according to your operation, and train our AI models to deliver accurate and actionable recommendations.

3

Validation and start-up

We provide you with ready-to-use dashboards, with clear and actionable information. We validate with your team that the recommendations fit the operational reality and fine-tune the last details.

Estimated integration times

Activity

Estimated time

Diagnosis and definition of the type of integration
2-3 business days
Extracting and cleaning data from the system
1 week
Configuration of integration with Datup modules (planning, inventory, purchasing, distribution)
3 business days
Training models with structured data
1 week
Validation and start-up
2 days

It was really an implementation of about 8 weeks at most, which was too fast and was very much in line with what we needed for this technological change.

Jhon Freddy Cortes
Director of Logistics, Planning and Supply at Casalimpia S.A
See Case Study

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FAQs

What kind of resources do I need to have to implement this with Siesa?
Integration with Siesa does not require complex developments. You only need access to the database or to downloadable reports. On the client side, the participation of a user with technical knowledge that enables data extraction, and a functional user who is clear about internal processes, is required. Datup is present at every stage to make it efficient and fluid.
What happens when I have data scattered across several Siesas (ERP, Excel, WMS)?
It is possible to unify them on the same platform, as long as they can be properly mapped and integrated.
How much historical data is needed to produce a reliable forecast?
The ideal is to have at least 24 months of records, although it could be adjusted depending on the item cycle or seasonal changes.
How soon can I notice improvements when synchronizing my data with a planning solution?
Most organizations see advances in accuracy and efficiency within a short time of getting started, primarily by automating manual tasks.
Do I need to involve technical help or additional development to use Datup with Siesa?
Not normally. Datup can connect using connectors that are already available or through information that you already have available. The Datup technical team accompanies the implementation and customizes the integration to the degree of digitalization that your company has.
What type of data does Datup work with when connecting with Siesa and how often are they updated?
Key data such as historical sales, purchase orders, available inventory, product masters and lead times are extracted. The data update can be configured according to the dynamics of the business: with daily, weekly cycles or direct API connectivity, when API integration is available. This ensures that predictive models and recommendations are fed with fresh and reliable data.
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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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