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Siesa Inventory Management with AI

Siesa: Inventory Management with AI

The integration between Datup and Siesa for inventory management allows you to improve inventory control throughout the operation: it optimizes the level of security, automatically manages purchase reorders, prioritizes products with the highest turnover, and other key functions.
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Siesa Inventory Management with AI

Leading companies in supply chain use Datup to improve their results

Benefits of empowering Siesa for inventory management with AI and Datup

Full visibility 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 needing scattered reports or misaligned information.

Automatic predictions with artificial intelligence

Forget about fixed formulas or manual calculations. Our artificial intelligence analyzes how your products move and provides realistic estimates, adjusted to the reality of your operation.

A single forecast for all teams

Sales, operations, finance and purchasing working with the same demand scenario. Less noise, more coordinated decisions and collaborative action.

Intuitive and quick to use platform

Designed for teams that need agility, without permanent technical dependence. Do it yourself in minutes.

Progressive growth

Designed for teams that need agility, without permanent technical dependence. Do it yourself in minutes.

Automation of critical processes

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

Features of the Siesa inventory management integration

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. The system 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.

AlaiA: AI-based assistant

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.

Asistente Conversacional Alaia Datup

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.

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 resources do I need to activate this integration?
The integration with Siesa is simple and without the need for advanced programming. You only need a connection to the database or to files exported from the system. On the client side, the participation of a technical profile is required to facilitate access to data, and of a functional user who knows the logic of the business. Datup is present at every stage to make it efficient and fluid.
Does Datup allow importing past business operations and inventory information extracted from the ERP?
Yes Historical sales, inventory, purchase order, and production information can be imported to strengthen the demand baseline. The more complete and tidy the history, the more value planning AI provides.
Does the platform allow me to preserve my operating structure (such as delivery times, minimum purchase, stock rules)?
No problem. Datup allows you to configure customized parameters such as delivery times (lead times), minimum purchase (MOQ), stock rules, and others. This ensures that the results respect your business logic.
Does Datup maintain the hierarchy of operating centers, locations and items defined in Siesa?
Of course. During integration, the organization and coding of products, centers, locations and measurement units as defined in Siesa is respected. This ensures total consistency in data usage and makes it easy to align with current processes.
Is it necessary to have IT support or advanced configuration during integration with Siesa?
Not normally. Datup can be connected using pre-configured methods or through files exported from Siesa. The Datup technical team guides the process and customizes the integration to the degree of digitalization that your company has.
Do I have the option of evaluating inventory situations or changes in inventory policies?
Of course it is. You can evaluate different scenarios of stock levels, expected volume, or replenishment times to choose more clearly.
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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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