Data analysis is no longer exclusive to large corporations. Today, any restaurant, hotel, or store can leverage their own orders, sales, and consumption to optimize their management.
At this point, the combination of our SaaS solution PIDE with our service INDAGA offers a unique competitive advantage.
Data Collection from Order Management
Each order made to a supplier is more than just a simple administrative record: it is a piece of strategic information. With PIDE, businesses can:
- Digitalize and centralize orders and delivery notes.
- Cross inventory data with sales.
- Identify consumption patterns in different seasons.
- Detect overruns or leaks in the supply chain.
In this way, PIDE streamlines administrative processes and turns each transaction into data ready to be analyzed.
Artificial Intelligence at the Service of Your Data
Collecting data is just the beginning; the value emerges when interpreting it. INDAGA is designed to:
- Apply artificial intelligence algorithms to the collected information.
- Generate predictions about future purchases and demand.
- Detect anomalies in expenses or consumption that could go unnoticed.
- Provide real-time insights to optimize strategic decisions.
With INDAGA, data becomes actionable information to reduce costs and increase efficiency.
Practical Case: A Hotel That Predicts and Saves
Imagine a hotel that, using PIDE to manage food orders, detects through INDAGA that, during certain seasons, beverage consumption increases by 30%. Thanks to this prediction, the hotel:
- Negotiates with suppliers before the surge in demand.
- Adjusts its inventory to avoid stockouts.
- Reduces losses from over-purchasing perishable products.
The result: savings, efficiency, and greater customer satisfaction.
From Data to Decision
Data collection and analysis are not isolated processes but steps in the same journey. PIDE facilitates order management order and traceability, while INDAGA interprets the data with artificial intelligence to help guide the business's course.
Custom B2B programming
Extract value and insights from data, manage with a data-driven approach, improve competitiveness, examine metrics, work with data, streamline workflows, automate processes, resolve internal bottlenecks, implement brand experiences and advance toward medium- and long-term goals, through modular and flexible solutions tailored to the business needs.
extraction
and cleansing
implementation
data infrastructure
automated event triggering
automation
purchasing management
and cost analysis