logistics Location Analytics for 3rd Party Logistics Providers to Attain Operational Excellence To understand shipping costs, delays, cancellations and much more
product Launching Locale.ai: Operational Analytics for Hyperlocal Decisions Locale converts location data into localized insights for ground operations
expert talks Rapido's Data Science Head on Geospatial Analysis at Rapido, Last Mile Challenges In India & Going Data-Driven What Pramod N thinks about building data team s and solving mobility challenges through geospatial tech
case study How Locale.ai helped a leading US e-commerce company reduce its overhead shipping costs A step-by-step guide on how they used Locale.ai to get visibilty on their overheads and shipping costs to
product Comparing Locale.ai and Uber's Kepler.gl on their Capabilities Comparision of how Locale is different from open-source Kepler.gl on capabilities
3PLP A Control Tower for eCommerce Companies that use 3PL Services A guide on how to use location analytics with Locale to evaluate performance
micromobility A New Way of Running Operations for Micro-Mobility Companies with Location Data How to leverage Locale for your hyperlocal decisions
external data How External Mobility data from Geolocation Signals helps with Business Decisions Use Locale.ai Console to analyze Irys mobility data for different use cases by overlaying it on top of your internal data.
geospatial Which Subway Stations are Risky for Commute in New York City Amidst the Covid-19 Pandemic? Studying Coronavirus and its effect on people’s commute patterns in NYC to find which subway stations are safe.
use case Why are Geospatial Visualizations & Heatmaps Critical for Food Tech Companies? How you can leverage your location data using Locale.ai for sustaiable growth
use case How can Cloud Kitchens Become Operationally Efficient using Location Analytics Combination of Use Cases, Right Metrics & Location Analytics for Cloud Kitchens
geospatial Key Metrics for Ride-Hailing Companies using Location Data Use location intelligence to create heatmaps for your critical business metrics with Locale
data science Why you shouldn't use zip codes for your hyperlocal & last-mile analysis Zipcodes and area boundaries ignore the nuances of properties inside them!
geospatial How can Workforce Companies Improve Productivity using Location Analytics? Drive sales by improving performance, utilization of your workforce geospatially
geospatial Map Layers: Types and Use Cases A deep dive into the type of map layers and their use cases to track on-ground resources and activity
use case How to Improve User Acquisition & Conversion using Location Analytics For app-based delivery + logistics + mobility companies where "location" is critical.
coronavirus Location Analytics for Your Supply Chain Using Locale.ai during Covid-19 To help you monitor disruptions, optimize routes & plan your inventory better amidst the Covid-19 Lockdown
data science Spatial Autocorrelation: Close Objects Affecting Other Close Objects Deep dive into spatial autocorrelation and their industry use cases
expert talks An Ex-Uber, Glovo Expansion Lead on Why Geospatial Analytics is the Need of the Hour! For companies with ground operations to become operationally efficient
product Location Analytics for delivery & mobility companies with ground operations In order to become unit economics profitable, increase asset utilization and user conversions on ground
product Carto vs Kepler vs Locale: Which product to use for geospatial analytics? A comparison of the geospatial tools for different use cases
product What does Supply-Demand Gaps Mean for On-Demand & Last-Mile Delivery? Localize your matching algorithm according to how your demand and supply behave in different areas
product Optimizing the Performance of Static Locations Geospatially Analyzing how demand & supply interact at static locations for companies
product Understanding Micro-Mobility Patterns using Geospatial Data Location is not about a point, It's about a line!
product How Mobility Companies can increase Asset Utilization Geospatially By monitoring and analyzing demand-supply gaps on the ground.
