RecolectIA

Waste Collection Routes Optimized by Artificial Intelligence

RecolectIA analyzes waste volumes, traffic conditions, and fleet capacity to generate optimal routes that reduce travel time, fuel costs, and CO₂ emissions. Fewer kilometers, more efficiency.

The Cost of Inefficient Routes

Fuel Cost Overruns

Manually planned routes create redundant trips and unnecessary kilometers. Trucks visit half-empty containers while others overflow, wasting fuel and operating hours.

Avoidable Environmental Impact

Every unnecessary kilometer generates CO₂ emissions. Without optimization, collection fleets contribute significantly to the municipal carbon footprint when much of that travel could be eliminated.

Unsatisfied Citizens

Overflowing containers, unpredictable schedules, and neglected areas generate constant complaints. Without real-time data, municipalities react to problems instead of preventing them.

30%average reduction in fuel costs with AI optimization

40%fewer kilometers per optimized route

25%reduction in CO₂ emissions per optimized fleet

How RecolectIA Works

Four integrated phases that transform operational data into optimal routes: from data collection to field execution.

Data Collection

RecolectIA ingests data from container fill-level sensors, fleet GPS, collection history, traffic conditions, and road restrictions. More data means better routes.

Modeling & Optimization

Combinatorial optimization and machine learning algorithms process multiple variables simultaneously: vehicle capacity, time windows, zone priority, turn restrictions, and real-time traffic.

Route Generation

The system generates optimized routes for each fleet vehicle, minimizing total distance, travel time, and fuel consumption. Routes update dynamically when conditions change.

Execution & Monitoring

Operators receive routes on their mobile device with turn-by-turn navigation. The central dashboard shows real-time progress, deviations, and compliance metrics.

Modeling & Optimization

IoT fill-level sensorsReal-time trafficMulti-objective optimizationOperational constraintsDynamic updates

System Capabilities

Combinatorial optimization algorithms (VRP, CVRP, VRPTW)
Vehicle capacity and waste type consideration
Time windows and zone-based schedule restrictions
Dynamic re-optimization for real-time changes
Workload balancing across fleet vehicles

RecolectIA vs. Alternatives

	Manual Planning	Generic GPS	RecolectIA
Route optimization	Experience-based	Simple shortest route	Multi-objective AI
Fill-level prediction	Not available	Not available	Predictive machine learning
Traffic adaptation	Driver knowledge	Basic navigation	Real-time re-optimization
Fleet balancing	Not possible	Not available	Automatic optimal distribution
Savings metrics	No measurement	Distance only	Fuel, CO₂, time, cost
Scalability	Limited to experience	Not applicable	From 5 to 500+ vehicles
Operational reports	Manual in Excel	Trip history	Dashboard + automatic export
IoT integration	Not possible	Not available	Native fill-level sensors

Frequently Asked Questions

Optimize Your Collection Routes with AI

Reduce costs, emissions, and travel time. RecolectIA transforms waste collection operations with artificial intelligence.