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Questions about the working of Locale.ai
Companies with moving assets on the ground who rely heavily on location data for their operational efficiency should use Locale. Some common industries which find value in Locale are Mobility, On-Demand Delivery, E-commerce, Workforce, and Logistics.
Locale is usable for every company which collects and relies on location data for operational optimization of their business. However, companies in the growth stage find more value in using Locale because of the ability to experiment quickly and measuring its impact. Locale also frees up the bandwidth of the engineering teams by taking the task of creating and maintaining location dashboards off their shoulders.
Companies with moving assets on the ground rely on location data to take hyperlocal operational decisions. Typically, different teams make two types of decisions on Locale:
- Tactical decisions taken by operations and marketing teams. Example: What incentives should I give to my drivers, What is the delivery fee we can charge in this area?
- Strategic decisions taken by strategy or product teams. Example: Where should I open a new station, How do I change the definition of this cluster?
Read more about the product here 👇
Algorithmic decisions might run well but there are still a lot of decisions where human involvement is needed, given the chaotic and fickle nature of the real world. There are also instances when operations teams need to monitor how different areas are performing. This exercise is done to find the gaps in the algorithms and take corrective measures.
Read more in the blog down below👇
Locale works in a very simple, 5 step process.
- Raw location data collected by the companies is ingested in Locale using push or pull APIs.
- This data is processed and structured on Locale’s end in such a way that it becomes easily accessible for everyone.
- Business users can then come and create their own dashboards comprising metrics and visualizations. This is a completely no-code process.
- These metrics can be sliced and diced by time and geo to take important decisions.
- Once a decision is made, Locale provides the ability to immediately measure its impact
You can also take a look at the short walkthrough video for further insight 👇
Locale requires geotagged (having latitude and longitude values) data of different events along with timestamps that need to be ingested. In the absence of either, Locale cannot be implemented.
Locale does not offer external data as part of its product. But if the data is available with a company, it can be ingested in the product and can be used for analysis. In some cases, data can also be bought by Locale for the company from third parties depending on the data and the region.
You can read more about how Locale.ai can work with external data down below👇
Locale currently does not provide predictive analytics. However, with the anomaly detection algorithm built-in Locale, companies solve some of their problems preemptively. For example, in case of cancellations falling below a threshold level, companies can start taking corrective action before it reaches a maximum level.
Currently, Locale is only available as a SaaS product completely run on the cloud. We don’t deploy solutions on-premise.