This Company Can Resolve Operations-related Issues of Businesses

Locale mainly focuses on moving assets on the ground like users, delivery partners, vehicles, or salespeople
  • BY Jaspreet Kaur

    Feature Writer, BusinessEx

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  • Aug 14,2020
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  • 12 Mins Read

Location analytics has become an important tool for attaining business success. Companies seeking profitability and high conversions on ground operations are relying on the geospatial data. In essence, location analytics gives insights related to moving objects and static assets on the ground. It is critically important for city and operation teams as it gives them better visibility into issues pertaining to personas like users, riders, sales and representatives, etc. 

Owing to its vast advantages, small and large corporations are penetrating into the geospatial data stream and trying to build tools to resolve business-related problems. One such firm is Locale that offers geospatial solutions to the companies. Aditi Sinha and Rishabh Jain have previously worked in the data consultancy industry and realised loopholes in location analytics. While working in the corporate industry, they had a shortfall of any suitable tools for geolocation data, in turn, giving push to their business idea. They realized that companies are collecting a considerable amount of location data but they were not leveraging the data for decision-making. This was mainly due to the lack of the right tools at their disposal.

This gives rise to their company, Locale that plays an important role in on-ground operations and empowers local teams in resolving operations-related problems on their own. The co-founders did enormous research and spoke to over 50 firms inquiring what insights they use from location data and tools they employ and what type of decisions they take.  

"Responses of various companies gave us the much-needed confidence that we were looking for. That's how this journey started and it has been a rollercoaster ride till date filled with challenges, rejections, and small wins," Aditi Sinha, Co-founder at Locale.ai told the BusinessEx. 

Offering Services and Resolving Problems 

Locale mainly focuses on moving assets on the ground like users, delivery partners, vehicles, or salespeople. Micro-mobility, ride-hailing, on-demand delivery, e-commerce, third-party logistics, and FMCGs are a few niche industries that it is currently offering services. It gives localized insights to various companies like FMCGs, financial institutions and hospitals. It aids companies in finding areas or geographies where they should expand to and penetrate so they can perform hyperlocal marketing in those areas by employing user booking data.

While focusing on hyperlocal delivery businesses, the location analytics company decreases their user churn, and enhances user retention. Moreso, it helps logistics and supply chain companies to become proactive on fleet performance and inventory analysis in real-time.  

"Irrespective of the size of the organization, it is pertinent for companies that have some kind of ground operations to have a deep understanding of their business health on the ground. Location analytics essentially give localized insights to the companies on user movements, order profitability, fleet performance, ETA breaches, etc. The only way to improve these metrics is to go very granular within your city across all your verticals– demand, operations, and supply," Sinha explaining the importance of location analytics in the business ecosystem.

Scaling Up the Business 

To offer better solutions, the company will be launching a standardised product. It is aiming to help users across the world facing operations-related problems. This is one of the plans to increase the business and customers as a whole.

Earlier in April this year, it raised a pre-seed funding round, which was led by Better Capital, with participation from notable angels such as Raveen Sastry, Pallav Nadhani, and Nachiketas Ramanujam. 

Future of the Location Analytics 

In the offing, the company believes that location analytics can be employed in the space of self-driving transportation and traffic planning for cities. The most critical thing in this system would be the creation of lanes and traffic management. Furthermore, geospatial analytics will help set up localized command centers that can govern and manage this traffic. 

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