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A Location Analytics Framework to Scale Your Mobility Operations | An Interview with Locale.ai

Recently we dove into the subject of hyperlocal data and how it can help your vehicle sharing business to maximize fleet capacity and to boost revenue. We talked to the experts on the subject: Aditi Sinha and Saahil Sachdeva from Locale.ai, who are partners on the Wunder Marketplace.

In this article, we spoke to Aditi to dive deeper into what Locale does, to see what problems hyperlocal insights solve for mobility companies and other businesses with moving assets, and to look at the future of the location analytics market (spoiler: it’s expected to grow by 13% by 2027).

What was the idea or story that prompted you to launch Locale?

It’s a well known saying that necessity is the mother of all invention. You could say our story is similar to that.

Locale.ai was born out of a personal problem. My co-founder and I used to work with mounds of geo data in our previous company, and there were no off-the-shelf tools that we could use. We had to build internal solutions and create tools to perform geospatial analysis.

While location data was in abundance, the tools to handle them weren’t. The idea of Locale dawned on us when we found out that multiple companies are looking to build geospatial teams internally. We asked ourselves, “Could we build a product to empower local teams to get the right insights and spend time working on their core problems instead of writing queries?“

I could go deeper into our journey, but you can also read more here.

What services do you provide today? What problems does your product solve?

With Locale, users have the ability to get hyperlocal insights about their assets within minutes. We make this possible through various analytical processes, like hex heat maps, trip analysis, comparison analysis (to analyze supply demand gaps) and so on.

We provide for various use cases and a custom build based on requirements. Some of them include:

  • Marketing and growth teams can use Locale for acquisition (expanding in areas of latent demand), conversion (identifying high user churn in areas) and retention.
  • City and operations teams can use it for allocation (redistribution) monitoring and track profitability.
  • Strategy teams and CXOs can use it for identifying cancellations, delays & SLAs, productivity and overall revenue.

Today, it takes 60-75 days and a team of 10 members (engineers, data scientists, analysts, ops managers) to run strategies on the ground. The analyst and engineering bandwidth become the biggest bottleneck to growth. When using multiple tools (BI tools, python, SQL, etc.), building location cohorts takes 2-3 weeks. After finalizing the strategy, debugging and collaboration across disparate tools takes 7-10 days. And yet impact evaluation and iteration is missing from the current process.

At Locale, we are solving this exact problem by reducing time to insight by 300x by helping to create metrics and location-based cohorts in minutes as compared to 2-3 weeks, deploying localized decisions in 3 clicks and improving operational KPIs by including hyperlocal nuances.

We envision a world where the pace of operational analytics and testing on ground is the same as analytics and A/B testing on products.

You can explore and play around with Locale by visiting our demo page.

Who is a typical Locale customer? What segments and markets do you cater to?

An ideal Locale customer is any company with moving assets. This could be vehicles, driver fleets, delivery personnel and so on. We are currently working with

  • Mobility companies (car sharing, ride sharing, ride hailing, micromobility companies and so on)
  • On demand delivery companies
  • E-commerce companies that have their own fleet or use 3PL services
  • Logistics companies with mobile trucks and drivers
  • Workforce companies with moving sales fleets

The use cases we work with are generally catered to operations and city teams to help them get a holistic view of the real word behavior of their users and on-ground assets without any engineering bandwidth. Locale focuses on metrics like asset utilization, user conversion, user acquisition, cost per delivery and unit economics__ among others.**

What are the benefits that location intelligence can provide to these businesses?

Location intelligence can help companies:

  • Take data driven strategic decisions based on historical analysis. For example, where have the user cancellations been growing for the last month in an area?
  • React to things in real time and make tactical decisions to address bottlenecks on the go. For example, reacting to the sudden increase in demand due to a concert by placing the driver fleet in those areas.
  • Create a central knowledge base of operational metrics and understand what strategies are working well. For instance, a discount of x% always drives up conversion in the eastern part of the city.
  • Run multiple experiments and strategies for different locations, users, and times of the day and iterate them by measuring their impact. A culture of rapid experimentation is essential to know what works best in different locations. For example, we can run an experiment by provisioning extra members of the delivery fleet in the western part of the city and see if delays are reducing or not.

Location and operational analytics services are seeing a surge. What makes yours different?

The most interesting fact about location analytics companies is that so many have emerged in the past year or so, which is a testament to the fact that this pain point is only increasing.

Locale is an end-to-end location analytics solution that is more than just visualizations. This means that whenever business users or decision-makers need the right insights about their ground operations, they can turn to Locale and need not depend on their teams of analysts or engineers.

Locale gathers all location data in one place and acts as one source of truth for all location-based decisions. The five-fold model we follow to achieve this is one of the big differentiating factors from other existing tools.

  • Orchestration: We get your location data in one place and help modules to create relevant metrics like idle time, unfulfilled demand, etc. in just 3 clicks.
  • Decisions: Enables decision-making either in real-time when you need to react or, more strategically, when you need to analyze patterns and trends.
  • Analyses: We have templates for the most relevant use cases where you can visually analyze the data. For example, demand-supply gaps to analyze idle time, life cycle analysis to analyze drop-offs in distinct steps.
  • Collaboration: Analytics cannot be done in a silo. Locale ensures that people across teams can come together to debug and implement decisions.
  • Measuring Impact: Once you make your decisions, you can measure the impact of your actions and iterate, thus closing the decision loop.

Along with this, a simple and intuitive user interface doubled with a robust ETL that can handle streaming data and historical data, Locale is one of a kind tool which can provide scalable geospatial visualizations with actionability.

What does the future of location analytics look like? And what’s next for Locale?

The global location analytics market is projected to reach USD 25.48 billion by 2027, exhibiting a CAGR of 13.0% during the forecast period. This is in line with the fact that we have seen an increased adoption of location based technologies in the recent years.

However, we believe that as we approach the future, we will see its applications across various industries like FMCG, retail, hospitality, healthcare and so on. This is because every commercial asset that moves in the real world needs to be analyzed. Not to mention with smart cities, drone deliveries, and self driving cars gaining momentum, location analytics will play an important role in enabling these revolutionary technologies.

Location analytics will continue to grow and evolve as companies start using and collecting location data proactively and incorporate it into all their business strategies. As for Locale, we are slowly expanding into the e-commerce and logistics industries as well.

By joining the Wunder Marketplace, Locale joins a select group of companies offering B2B services for shared mobility. Why did you choose to become a Wunder Mobility partner?

I want to start off by saying that the partners at Wunder Mobility have been an absolute delight to work with. As a company dedicated to innovating for the sustainable mobility space, Locale can add great value to customers by equipping them with the best location analytics framework to scale their operations. Our conversations with Wunder Mobility and their appreciation of the product make us believe it will be an impressive addition to all companies.

It is also an excellent platform not only to expand our reach but also contribute to the global shared mobility revolution. Moreover, the ease of integration will enable mobility players all over the world to access hyperlocal insights with great ease and accelerate their growth.

We couldn’t be more excited to help companies achieve operational excellence with Wunder Mobility!

Find Locale.ai on the Wunder Marketplace

The marketplace is the first of its kind, enabling you to mix-and-match suitable add-ons that will enhance your mobility business, including solutions like insurance, analytics, fleet maintenance, damage reporting, and much more.