```json
{
    "title": "Best route optimization APIs for waste collection",
    "url": "https://kardinal.ai/best-route-optimization-api-waste-collection/",
    "datePublished": "2026-09-18",
    "dateModified": "2026-09-25",
    "language": "en-GB",
    "description": "A comparison of the 11 best route optimization APIs for waste collection, benchmarked against constraints representative of the market.",
    "author": "Kardinal",
    "publisher": "Kardinal"
}
```

# Best route optimization APIs for waste collection

# Best route optimization APIs for waste collection

> **In short:** Among route optimization APIs for waste collection, Kardinal dominates this sector ranking by a wide margin. This is the most discriminating sector in the benchmark: limited intake capacity at disposal sites and simultaneity constraints remain poorly served by most of the market.

- **11** APIs compared in this sector
- **98%** of waste collection constraints covered by Kardinal, ranked 1st
- **74%** LogisticsOS, the closest competitor

- **Premium > 70%:** Kardinal (98%), LogisticsOS (74%), Solvice and HERE tied (73%).
- **Standard 50-70%:** Google (64%), NextBillion AI (61%), GraphHopper (48%).
- **Basic < 50%:** Timefold (41%), Verso (38%), Routific (32%), Mapbox (24%).

Waste collection imposes a constraint most generalist optimizers ignore: intake capacity at disposal sites. A waste facility or sorting center often accepts only one vehicle at a time during unloading, on a slot that can last an hour. An optimizer that sends ten trucks to the same site in the morning produces a schedule that collapses within the first hour of operation.

This article compares eleven route optimization APIs (Kardinal, LogisticsOS, Solvice, HERE, Google, NextBillion AI, GraphHopper, Timefold, Verso, Routific, Mapbox) on their ability to handle the specific constraints of waste collection.

> **A sector analysis, drawn from the full benchmark.** For a market-wide view across all solutions and all sectors: [the main guide to route optimization APIs](https://kardinal.ai/best-route-optimization-api/). The raw data sits in the [2026 benchmark](https://kardinal.ai/benchmark-route-optimization-api-2026/), and the price lists in the [pricing comparison](https://kardinal.ai/route-optimization-api-pricing-2026-comparison/).

## Key takeaways

1. In this sector, **Kardinal covers 98% of the relevant constraints**. LogisticsOS follows (74%), then Solvice and HERE, tied (73%).
2. **Limited intake capacity at disposal sites**, the sector's most critical constraint, is fully covered only by Kardinal.
3. This is the **most discriminating sector in the benchmark**: the gap between the first and last vendor exceeds 70 points, well above the average across other sectors.
4. **Lexicographic optimization**, which ranks objectives rather than weighting them, is only available from Kardinal and HERE. The others fall back on a weight for every criterion, which quickly turns into a sprawling setup to fine-tune. Ranking keeps multi-objective optimization simple and readable.

## What makes waste collection genuinely complex

### Intake capacity at disposal sites

A waste facility, sorting center or incineration plant often accepts only one vehicle at a time during unloading, on a slot that can last an hour. An optimizer that ignores this constraint can send ten trucks to the same site on the same morning, which blocks the whole schedule from the first hour.

### Recurring routes and collection frequencies

A large share of waste collection relies on recurring routes, with different frequencies depending on the waste type and the customer: weekly for household waste, biweekly for sorted recycling, on-demand for industrial waste. The optimizer has to handle these cycles without rebuilding the schedule at every iteration.

### Waste classification and compatibility

Some types of waste cannot be transported together, for regulatory or safety reasons: hazardous waste, biowaste, special industrial waste. The optimizer has to respect these loading incompatibilities just like a standard capacity constraint.

### Bins and containers to manage on site

Part of the collection involves dropping an empty bin and picking up a full one at the same site, a movement close to pickup-and-delivery but with its own container-availability constraints.

### Variable collection time

Unlike a standard delivery where service time is stable, collection time depends heavily on the volume actually present on site, which is hard to know precisely in advance. Systematic underestimation throws the whole route off balance.

## The critical constraints for a waste collection API

Three levels of requirement structure the market: the classic baseline everyone covers, the intermediate constraints that are indispensable in practice, and the advanced constraints that genuinely make the difference in collection.

**Classic (3)**

- **Distance and vehicle count** — The fundamental objectives of any optimization. Covered by: every vendor except Mapbox.
- **Capacity and load compatibility** — Respecting volume and waste type per vehicle. Covered by: every vendor.
- **Container pickup and drop-off** — The core movement of the business. Covered by: every vendor.

**Intermediate (4)**

- **Recurring routes with variable frequency** — Managing different collection cycles by waste type and customer. Covered by: Kardinal, Solvice, LogisticsOS, HERE and NextBillion AI. Partial at Google and GraphHopper.
- **Loading incompatibilities between waste types** — Respecting regulatory separation rules. Covered by: Kardinal, Solvice, LogisticsOS and HERE. Absent at GraphHopper, Mapbox, Routific, Timefold and Verso.
- **Time windows at treatment sites** — Respecting the opening hours of waste facilities and sorting centers. Covered by: every vendor except Routific, Timefold and Verso.
- **Predictive traffic** — Expected traffic is factored in before optimization, not corrected afterwards. Covered by: Kardinal, Solvice, GraphHopper, Google, HERE, Mapbox and NextBillion AI. Absent at Routific, Timefold and Verso.

**Advanced (5)**

- **Limited intake capacity at disposal sites** — Capping the number of vehicles present at a treatment site at the same time. Covered by: Kardinal only. Partial at Solvice, HERE and LogisticsOS.
- **Lexicographic optimization** — First meeting site time windows, then minimizing costs, with no weights to calibrate between the two. Covered by: Kardinal and HERE only.
- **Variable collection time by estimated volume** — Adapting service duration to an estimate of the volume actually present on site. Covered by: Kardinal and Solvice only.
- **Route compactness** — Keeping each route geographically tight to limit empty runs between collections. Covered by: Kardinal, Solvice and LogisticsOS only.
- **Dynamic reassignment when a site is saturated** — Redirecting a vehicle to an alternative treatment site if the planned one is temporarily unavailable. Covered by: Kardinal only.

## The waste collection APIs compared

### Kardinal — the most complete API for waste collection (98% coverage · 1st/11)

Kardinal is the most complete solution for waste collection, with a particularly wide gap on the sector's most critical constraint: it is the only vendor to fully cover limited intake capacity at disposal sites, as well as dynamic reassignment when a site is saturated.

It also combines lexicographic optimization, route compactness and variable collection time by estimated volume, two constraints it shares only with Solvice.

**Ideal for:** Collection operators of every size, from recurring municipal routes to industrial networks with waste-compatibility constraints and capacity-limited treatment sites.

### LogisticsOS — built around recurring routes (74% coverage · 2nd/11)

LogisticsOS comes in second. It covers recurring routes with variable frequency and loading incompatibilities well, but lags on intake capacity at sites, which it covers only partially.

**Ideal for:** Operators with complex collection cycles to manage, with no critical site-capacity constraint.

### Solvice and HERE — two different profiles at 73% (3rd/11, tied)

Solvice and HERE finish tied. Solvice covers variable collection time by estimated volume alongside Kardinal, and route compactness. HERE is the only solution besides Kardinal to offer lexicographic optimization, and covers loading incompatibilities well.

Neither fully covers intake capacity at sites, nor dynamic reassignment when a site is saturated.

**Ideal for Solvice:** Operators whose collection time varies significantly from one site to the next and who want to anticipate it in planning.

**Ideal for HERE:** Operators who want to rank their priorities strictly and already run the HERE mapping ecosystem.

### Google — strong mapping, advanced constraints absent (64% coverage · 6th/11)

Google covers predictive traffic well and partially covers recurring routes, but none of the sector's five advanced constraints are covered, even partially.

**Ideal for:** Operators with standard collection needs, with no critical site-capacity constraint.

### NextBillion AI — solid on the fundamentals, behind on advanced (61% coverage · 7th/11)

NextBillion AI covers recurring routes and predictive traffic well, but none of the sector's advanced constraints are covered.

**Ideal for:** High-volume operators with standard collection needs.

### GraphHopper, Timefold, Verso, Routific and Mapbox — insufficient coverage for professional collection (48% → 24%)

- **GraphHopper (48%)** covers predictive traffic and partially recurring routes, but no loading incompatibilities and no advanced constraints.
- **Timefold (41%)** and **Verso (38%)** lag on most of the sector's fundamentals.
- **Routific (32%)** and **Mapbox (24%)** are not designed for professional waste collection.

## Summary table

| Solution | Coverage | Disposal site capacity | Waste incompatibilities | Variable collection time | Lexicographic |
|---|---|---|---|---|---|
| Kardinal | 98% | Full | Full | Full | Full |
| LogisticsOS | 74% | Partial | Full | No | No |
| Solvice | 73% | Partial | Full | Full | No |
| HERE | 73% | Partial | Full | No | Full |
| Google | 64% | No | No | No | No |
| NextBillion AI | 61% | No | No | No | No |
| GraphHopper | 48% | No | No | No | No |
| Timefold | 41% | No | No | No | No |
| Verso | 38% | No | No | No | No |
| Routific | 32% | No | No | No | No |
| Mapbox | 24% | No | No | No | No |

## Our verdict

Fleet size is not what should drive the choice. What matters is how much of your constraints go beyond the classic fundamentals. Start from the four leading solutions on waste collection, then narrow the list according to your needs.

**Starting point · the top 4**
Kardinal, LogisticsOS, Solvice and HERE all cover the fundamentals of collection well. Kardinal leads the group by 24 points, the widest gap across every sector analyzed.

**Your treatment sites have limited intake capacity**
LogisticsOS, Solvice and HERE, which cover this point only partially, all drop out. Only Kardinal covers it in full.

**You need to manage waste incompatibilities**
Kardinal, Solvice, LogisticsOS and HERE all cover this point, none drop out at this stage.

**And on price**
Among the top 4, Kardinal is also the most competitive overall, including for mid-size fleets. The details are in our [2026 pricing comparison](https://kardinal.ai/route-optimization-api-pricing-2026-comparison/).

## Do your treatment sites have limited intake capacity or waste-compatibility constraints?

Test Kardinal optimization on your own data, with no commitment.

**[Start with the free tier →](https://console.kardinal.ai/)** · **[Read the documentation](https://developers.kardinal.ai/)** · **[See the full benchmark](https://kardinal.ai/benchmark-route-optimization-api-2026/)**

## FAQ

### Which route optimization API should you choose for waste collection?

Kardinal is the most complete solution, with 98% sector coverage, and the most competitive on price among the top 4. LogisticsOS (74%) follows, then Solvice and HERE, tied (73%). If your treatment sites have limited intake capacity, the sector's most critical constraint, Kardinal remains the only vendor to cover it in full.

### How do you manage disposal sites that only accept one vehicle at a time?

This constraint caps the number of vehicles present at a treatment site at the same time, often to just one during unloading. Kardinal is the only solution in the panel to cover it in full; Solvice, HERE and LogisticsOS cover it only partially.

### How do you manage collection routes with different frequencies by waste type?

This constraint handles recurring collection cycles that differ by customer and waste type: weekly, biweekly, on-demand. Kardinal, Solvice, LogisticsOS and HERE cover this capability in full.

### How does a route optimization API handle incompatibilities between waste types?

Some types of waste cannot be transported together for regulatory or safety reasons. Kardinal, Solvice, LogisticsOS and HERE respect these incompatibility rules just like a standard capacity constraint.

### Why is waste collection the most discriminating sector in the benchmark?

The gap between the first and last vendor exceeds 70 points in this sector, well above the average across other sectors analyzed. That comes down to the intake-capacity constraint at disposal sites, very specific to the trade and poorly covered by most generalist solutions on the market.

## Going further

- [Long-haul / FTL](https://kardinal.ai/best-route-optimization-api-long-haul-transport/) — Regulation, driving hours and rate modeling on full truckload.
- [Oversized & heavy freight](https://kardinal.ai/best-route-optimization-api-oversized-heavy-freight/) — Matched crews and equipment, bulky returns and regional depot networks: the constraints of heavy freight.
- [Field service](https://kardinal.ai/best-route-optimization-api-field-service/) — Skill-based assignment, contractual appointments and real-time re-optimization: the constraints of field jobs.