Intelligence Behind Every Delivery
More Predictable Deliveries, Happier Customers
Customers still don’t know when they will receive their orders
Without a reliable delivery estimate, companies lose conversion, trust, and competitiveness.
60%
of shoppers want to know the delivery date before completing their purchase.
45%
abandon the cart if they don’t get it.
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 precise and personalized information both at checkout and during the shipping process, boosting conversion and customer satisfaction.
Key PredictIA integrations:
- At checkout: shows a personalized delivery promise that builds reliability and trust.
- In notifications and tracking: includes the estimated delivery (day + 4-hour time slot) to improve post-purchase communication.
- In transport: calculates the estimated delivery window based on each carrier’s and service’s historical performance.
4 Predictive Models for Accurate Estimates
PredictIA combines four predictive data models to maximize calculation reliability:
- Order preparation process prediction model.
- Delivery history and anomaly detection by location.
- Optimal carrier and service prediction.
- Holiday and time-restriction management.
Deliver Visibility and Confidence in Every Delivery
Increase conversion by up to 4% with a more reliable and predictable delivery experience.
Offer 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 Load and Reduce Costs
Poor Space Utilization: An Efficiency Problem
Manual loading processes lead to wasted usable space, higher logistics costs, and increased risk of transport damage—both in owned fleets and third-party services.
This limits logistics efficiency and increases operational times.
More Optimized and Safer Loads
LoadIA applies artificial intelligence to load optimization in any format: containers, trailers, cargo holds, or pallets.
Its algorithm analyzes multiple variables to maximize volumetric utilization and ensure a safe, balanced, and efficient load.
Variables considered by LoadIA:
Delivery order 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 with the packages to be optimized and defines (or not) a container or vehicle. Based on the chosen strategy, the system returns the most efficient scenario:
- Space optimization: the algorithm selects the smallest suitable transport unit (pallet, half load, FTL, etc.).
- Delivery-order optimization: prioritizes the delivery sequence to simplify unloading and reduce handling time.
Lower Costs, Greater Safety, and Faster Loading
Space savings and reduced transport costs.
Greater safety and lower risk of damage.
Faster loading and unloading thanks to intelligent load planning.
Dynamic Routes for Efficient Delivery
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 leads to issues such as:
- Lack of historical learning
- Limited consideration of business or customer satisfaction criteria
- Difficulty reacting to real-time changes (cancellations, traffic, new deliveries)
- No interpretation of 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 context, 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 deliver optimal routes
Smarter Route Planning
- Delivery clustering by time slot, area, and order type
- Dynamic prioritization of objectives (cost, commitment, or satisfaction)
- Classification by urgency and complexity
- Variables considered: location, shipment attributes, capacity, compatibility, and conditions.
- Results: cost and time minimization through optimized delivery order and space utilization.
More Efficient, Lower-Cost Deliveries
- Reduced distribution costs and average route time
- 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 AI is already transforming how companies manage deliveries, routes, and operations. At Deliverea, we help you apply AI across your supply chain to improve efficiency, reduce costs, and deliver a superior delivery experience.
Take the first step toward 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 AI is already transforming how companies manage deliveries, routes, and operations. At Deliverea, we help you apply AI across your supply chain to improve efficiency, reduce costs, and deliver a superior delivery experience.
Take the first step toward smarter logistics.
Contact us today and discover how PredictIA, LoadIA, and NavIA can adapt to your business and start delivering results from day one.
