When working with the Google Maps Platform Route Optimization (GMPRO) API, many developers and logistics planners focus on defining shipments, vehicles, and operational constraints. However, one often overlooked yet powerful configuration is SearchMode — a setting that can significantly influence both the quality of your route solutions and the time it takes to compute them.
SearchMode It determines how much time the system will spend “searching for possible solutions” when calculating the best route, thereby affecting the speed and optimization degree of the returned results. This setting has a considerable impact on logistics efficiency, distribution cost control, and even user experience. Especially when it is necessary to respond immediately or handle a large number of distribution demands, choosing the right mode can make a huge difference in the overall system performance.
In this blog, we’ll explain what SearchMode does, compare the available modes, and help you choose the right setting based on your specific logistics use case.
The Nature of Route Optimization: More Than One “ Right” Answer
Route optimization isn’t about finding one perfect answer — it’s about identifying one of many feasible solutions that meet your operational constraints (such as time windows, vehicle capacity, and stop limits) while minimizing delivery cost or time. Because of the complexity involved in solving the Vehicle Routing Problem (VRP), multiple optimized solutions often exist. Each might satisfy different constraints, some routes may be faster, while others might better balance load across vehicles or reduce total distance.
This is where SearchMode comes in: it controls how extensively GMPRO explores potential solutions, allowing you to prioritize either computation speed or result quality.
What is Search Mode in GMPRO?
SearchMode SearchMode is a parameter within the OptimizeToursRequest that determines how the optimization engine trades off between speed and solution quality.
You can choose from the following options from google official documents:
RETURN_FAST(Default): Returns the first high-quality solution found, prioritizing speed.
CONSUME_ALL_AVAILABLE_TIME: Continues searching until all time specified in timeout parameter is used or no better solution can be found.
SEARCH_MODE_UNSPECIFIED: Behaves likeRETURN_FASTif not explicitly defined.
Choosing the right mode depends on your planning goals: whether you need instant results or are willing to spend more time for higher-quality optimization
Option 1: RETURN_FAST — Fast, Reliable Optimization
Setting SearchMode to RETURN_FAST tells GMPRO to stop as soon as it finds the first optimized solution it finds. This mode is designed for speed and responsiveness — ideal for use cases that require quick decision-making.
Typical scenarios include:
- Live operations where speed is critical
- Real-time re-planning or interactive UI tools
- Good for single vehicle optimization
RETURN_FAST delivers a reliable, high-quality result within a short processing time — making it perfect for systems where low latency is a priority.
Benefits:
- Low latency results
- Good fit for high-frequency requests and relatively small ones
- Where absolute optimality is not the top priority (latency is)
Use Case Fit:
- On-demand delivery routing
- Interactive fleet monitoring UIs
- Scenarios with narrow solution spaces
Option 2: CONSUME_ALL_AVAILABLE_TIME — Optimize for Quality
Choosing CONSUME_ALL_AVAILABLE_TIME tells GMPRO to keep searching for better solutions even after finding one that works. It stores the current best result but continues exploring alternatives until all available processing time is used.
This mode is especially useful when:
- Your constraints are more complex includes more hard/soft constraints
- Larger problems with many shipments and vehicles
- You want to optimize further for cost, distance, or load balancing ahead, not in real time
- You’re running operations where route quality and cost savings are more important than speed
In these cases, GMPRO may find a more refined plan by evaluating more of the solution space. This can lead to better outcomes — not because the first solution was flawed, but because additional time allows for optimization across more variables.
Benefits:
- Potential for more cost-efficient or balanced routes
- Better results for complex or large-scale problems
- Ideal for batch planning or scenario testing
Use Case Fit:
- Overnight fleet planning
- Strategic simulations
- Logistics cost optimization
Quick Comparison Table: When to Use Each Mode
Every planning problem has its own context — and so should your choice of SearchMode.
| Scenario | Recommended SearchMode |
|---|---|
| Live, time-sensitive planning, small set | RETURN_FAST |
| Batch processing or fine-tuning | CONSUME_ALL_AVAILABLE_TIME |
| Multiple hard/soft constraints and other constraints | CONSUME_ALL_AVAILABLE_TIME |
Rather than viewing one mode as better than the other, consider them as tools — each optimized for different planning goals. Choose based on whether your priority is response time or optimization depth.
Advanced Tip: Pairing SearchMode with Timeout Configuration
You don’t always have to pick one extreme. By configuring thoughtful timeout settings, you can allow CONSUME_ALL_AVAILABLE_TIME to explore sufficiently while maintaining control over overall processing time — unlocking the best of both worlds.
For example:
- Set a short deadline (e.g., 5 seconds) during peak hours
- Allow a longer deadline (e.g., 60 seconds) for batch runs overnight
This hybrid approach gives you speed when you need it, and depth when you can afford it.
Implementation Strategy
While both SearchMode options are simple to configure, the recommended implementation approaches depending on system requirements.
Synchronous strategy
RETURN_FAST RETURN_FAST and CONSUME_ALL_AVAILABLE_TIME with timeout can run on this strategy.
Asynchronous strategy
onlyCONSUME_ALL_AVAILABLE_TIME can run on this strategy. Since the API utilizes the full processing window to search for more optimized solutions, it is recommended to implement request polling or webhook-based callbacks to retrieve the final result efficiently without blocking the system.
Recommendation: For production systems using CONSUME_ALL_AVAILABLE_TIME, consider incorporating background pooling or status-checking mechanisms to maintain responsiveness and scalability.
FAQ: Common Questions About SearchMode in GMPRO
Q1: What happens if I don’t set a SearchMode?
The system defaults to RETURN_FAST, which is sufficient for many real-time scenarios but will skip deeper optimization.
Q2: Can I switch modes dynamically?
Yes, you can configure SearchMode per request. This is useful for adapting based on time of day or workload.
Q3: Does CONSUME_ALL_AVAILABLE_TIME always yield better results?
Not always — it explores more options but doesn’t guarantee significant improvements in every case.
Q4: Does SearchMode affect cost or quota usage?
No, does not affect cost or quota usage.
Q5: Should I use RETURN_FAST for mobile or web-based UIs?
Yes. RETURN_FAST is ideal for responsive UI tools that require quick feedback but the quantity of the shipments, vehicle and constraints have direct impact on the response
Reference：https://developers.google.com/maps/documentation/route-optimization/reference/rest/v1/SearchMode?
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