Intelligence behind every delivery
At Deliverea, we believe that artificial intelligence applied to logistics is not the future: it is already here. That is why we have developed a range of AI-powered logistics solutions designed to improve operational efficiency, reduce costs, and optimize the delivery experience, from the customer promise through to the last mile.
Our technology combines advanced machine learning models and predictive algorithms with real data from your logistics operations to make smarter decisions, anticipate issues, and automate processes with precision. Deliverea's logistics AI learns from your business and operational workflows to deliver more agile, cost-effective, and predictive logistics. Discover how our three solutions — PredictIA, LoadIA, and NavIA — transform the supply chain through artificial intelligence and logistics automation.An assistant connected to your logistics operations
Delivery-related questions generate a constant stream of customer service enquiries: Where is my order? Can I change the delivery date? Can I change the address?
IRIS is Deliverea’s artificial intelligence assistant. It answers these questions and enables certain delivery-related operations to be managed automatically, quickly, and 24/7.
It understands customer requests using artificial intelligence and identifies what they need or what action they want to take regarding their delivery.
It connects to the necessary systems to retrieve information and automatically prepare the available operations for the shipment.
It provides the customer with a clear, up-to-date response through the same channel, simplifying the logistics information associated with each delivery.
It carries out the requested action on the delivery and confirms the result to the customer, completing the process automatically and without manual intervention.
One intelligence, multiple channels
Every customer has their preferred way of communicating. IRIS provides a consistent customer service experience across multiple channels, while keeping logistics information and management capabilities centralized.
This allows companies to bring logistics support to the channel that is most convenient for each customer.
Customers can check information and manage delivery requests directly through WhatsApp.
Integrate the assistant into a chat environment to provide immediate answers and assistance.
Interact with IRIS by phone and make enquiries through a conversational experience.
IRIS capabilities can be integrated into other environments and applications via API.
From answering questions to resolving customer needs
IRIS can initiate a conversation with the customer when it detects situations that require their attention, anticipating potential delivery issues.
- PUDO delivery point suggestion:
Identifies PUDO points near the delivery address and suggests available alternatives where the recipient can receive their order.
- Delivery address validation:
Detects potential inconsistencies in the delivery address and contacts the recipient to validate or correct the information before delivery.
When a customer requests a specific action, IRIS identifies their intent and manages the request using the available information.
-
Where is my order?
Checks the shipment status and provides up-to-date delivery information.
- Change delivery date:
Allows the customer to select a new date when the shipment conditions permit it.
- Delivery to a PUDO point:
Allows the customer to request delivery to an available PUDO point when supported by the shipment.
- Change delivery address:
Allows the delivery address to be changed before the shipment is out for delivery.
More predictable deliveries, more satisfied customers
Customers still don’t know when their orders will arrive
Without a reliable delivery estimate, businesses lose conversions, customer trust, and competitiveness.
60%
of shoppers want to know the delivery date before completing their purchase.
45%
abandon their cart if this information is not provided.
Provide AI-powered delivery estimates
PredictIA uses multiple machine learning models to predict the delivery date and time window with up to 95% accuracy. Based on historical delivery data by location, the system provides accurate, personalized information both at the time of purchase and throughout the shipping process, helping increase conversions and customer satisfaction.
Key PredictIA integrations:
- At checkout: displays a personalized delivery promise that builds reliability and trust.
- In notifications and tracking: includes the estimated delivery date and a 4-hour time window to improve post-purchase communication.
- In transportation: calculates the estimated delivery window based on historical data for each carrier and service.
4 predictive models for accurate delivery estimates
PredictIA combines four predictive data models to improve the reliability of its calculations:
- Order preparation process prediction model.
- Historical delivery data and anomaly detection by location.
- Prediction of the optimal carrier and service.
- Management of public holidays and time restrictions.
Provide visibility and confidence throughout the delivery process
Increase conversions by up to 4% with a more reliable and predictable delivery experience.
Provide delivery estimates with 95% accuracy, based on real operational data.
Identify bottlenecks and improve the delivery experience at every stage of the process.
Optimize your loads and reduce costs
Poor space utilization is an efficiency problem
Manual loading processes lead to wasted usable space, higher logistics costs, and an increased risk of damage during transportation, whether using in-house fleets or third-party services.
This limits logistics efficiency and increases operational times.
More optimized and safer loads
LoadIA applies artificial intelligence to load optimization across any format: containers, trailers, cargo holds, or pallets.
Its algorithm analyzes multiple variables to maximize volumetric utilization and ensure loads are safe, balanced, and efficient.
Variables considered by LoadIA:
Delivery sequence and accessibility.
Volumetric utilization and stability.
Product compatibility and attributes (fragility, stackability, temperature, orientation).
Structural limitations of the vehicle or transport unit.
How it works
The customer creates a batch containing the packages to be optimized and can specify a container or vehicle if required. Depending on the selected strategy, the system returns the most efficient scenario:
- Space optimization: the algorithm selects the smallest suitable transport unit (pallet, partial load, FTL, etc.).
- Delivery sequence optimization: prioritizes the delivery order to facilitate unloading and reduce operational times.
Lower costs, safer and faster loading
Space savings and reduced transportation costs.
Greater safety and a lower risk of damage.
Faster loading and unloading thanks to intelligent load arrangement.
Dynamic routes for efficient deliveries
Static routes and limited planning
Traditional route optimization algorithms are effective at solving mathematical constraints, but they do not learn or adapt over time. This creates challenges such as:
- No learning from historical data.
- Limited consideration of business criteria or customer satisfaction.
- Difficulty responding to real-time changes (cancellations, traffic, new deliveries).
-
Inability to interpret complex attributes (fragility, priority, VIP customers).
Dynamic AI for adaptive routing
NavIA combines the OR-Tools engine with an advanced artificial intelligence layer that learns from data, adapts to changing conditions, and restructures routes in real time.
It enables you to:
- Make decisions based on business criteria and changing conditions.
- Dynamically adapt to incidents and updates.
- Interpret complex constraints and generate optimal routes.
Static routes and limited planning
- Clustering deliveries by time window, area, and order type.
- Dynamic prioritization of objectives (cost, delivery commitments, or customer satisfaction).
- Classification by urgency and complexity.
- Variables: location, shipment attributes, capacity, compatibility, and conditions.
-
Reduced costs and delivery times through delivery sequence optimization and better space utilization.
More efficient deliveries at lower costs
- Reduction in distribution costs and average route times.
- Improved compliance with delivery time windows.
- Less time spent on manual planning.
- Greater operational efficiency in last-mile logistics.
Ready to take your logistics to the next level with AI?
Logistics artificial intelligence is already transforming the way businesses manage their deliveries, routes, and operations. At Deliverea, we help you apply AI across your supply chain to improve efficiency, reduce costs, and deliver a better customer experience. Take the first step towards smarter logistics.
Contact us today and discover how PredictIA, LoadIA, and NavIA can adapt to your business and start delivering results from day one.
Ready to take your logistics to the next level with AI?
Logistics artificial intelligence is already transforming the way businesses manage their deliveries, routes, and operations. At Deliverea, we help you apply AI across your supply chain to improve efficiency, reduce costs, and deliver a better customer experience. Take the first step towards smarter logistics.
Contact us today and discover how PredictIA, LoadIA, and NavIA can adapt to your business and start delivering results from day one.
