GIS News

What’s New in Esri Demographics (March 2017)

Mar 02 2017 [Archived Version] □ Published at ArcGIS Blog under tags  arcgis content arcgis online ba desktop ba mobile ba server

The March 2017 ArcGIS Online release contains demographic updates for several countries as well as some key datasets in the U.S. Read more about these updates below or jump ahead to learn how these updates affect you. Demographic Updates Thirty-two … Continue reading


ArcticDEM Adds Largest Quantity of New Elevation Models

Mar 02 2017 [Archived Version] □ Published at GISCafe Voice under tags  analytics arcgis arcgis earth big data climate change

Peter Becker, ArcGIS product manager, Esri, talked with GISCafe Voice this week about the ArcticDEM project, that recently released the largest addition of new elevation models to the project. An ongoing collaboration effort between the National Geospatial-Intelligence Agency (NGA), the Polar Geospatial Center (PGC) and Esri, the ArcticDEM project produces high resolution elevation models to support […]


Special delivery with Google Maps APIs

Mar 02 2017 [Archived Version] □ Published at Maps under tags  google cloud maps

Customers care about convenience and expect fast responses, so a company’s ability to provide “last mile delivery”—quick, on-demand delivery service—can make or break its relationship with a customer. Asia-Pacific companies that rely on last-mile service are tapping into the cloud’s ability to amass and analyze data–specifically, using Google Maps to route drivers to the fastest path to a customer’s front door.

As customers demand even faster delivery—of everything from parcels to a hot dinner, the last mile of delivery is where customer relationships are strengthened—or weakened. Customers who request deliveries are doing so because convenience is important to them. Consumers expect faster deliveries at more convenient times, according to Accenture’s recent last-mile retail study. Asia-Pacific companies that rely on last-mile service are tapping into the cloud’s ability to amass and analyze data–specifically, using Google Maps to route drivers to the fastest path to a customer’s front door.

Committing to delivery windows

Swiggy, a local food delivery service based in India, delivers meals from restaurants in major cities like Bangalore and Delhi within a 40-minute delivery window. To make sure drivers can meet this commitment, Swiggy uses the Google Maps Distance Matrix API and Google Maps Places API to find and display only those restaurants that are within four to five kilometers of the customer. Once the customer places an order from one of the local restaurants, Swiggy uses the Google Maps Directions API to help drivers find directions to restaurants and customers.

special-delivery-1

Business is booming for Swiggy as a result of leveraging location data and the cloud to meet its delivery time commitment. Business has grown 25 percent per month, and nearly 80 percent of orders come from repeat customers.

Providing online estimates for delivery times

Bigbasket, India’s largest online food and grocery store, relies on mapping data too, but allows customers to choose a time window for delivery. For those who need their deliveries pronto, the company also offers an express service that delivers orders within 90 minutes.

When customers place orders on Bigbasket’s mobile app, they set their location on a Google map. The location determines the menu of products they are shown, as well as prices. Bigbasket used the Google Maps Javascript API to build a web-based app for the company’s backend that tracks all orders and delivery progress. Dispatchers use the Google Maps Directions API to match drivers with orders and customers, and the Google Distance Matrix API to estimate the time of arrival for deliveries.  The delivery recipe is working: Bigbasket has grown to four million customers, with more than one million orders every month.

Improving driver productivity and efficiency

For honestbee, an online concierge and delivery service based in Singapore, the last-mile goal was to improve driver and dispatcher efficiency. Using Google Maps, honestbee created a web-based map that shows the locations of drivers and their pickup and dropoff destinations.

The company uses the Google Distance Matrix API to build a batching engine, which automates dispatching drivers, and optimizes pickup and dropoff points. In instances where deliveries are too complex to be automatically handled by the batching engine, dispatchers match drivers with customers using a web-based map built with the Google Maps Javascript API.

special-delivery-2

Timely and speedy delivery plays a key role in customer satisfaction in today’s on-demand world. With accurate cloud-based mapping resources, merchants are finding ways to shave off precious minutes from last-mile delivery routes so customers keep coming back.


Special delivery with Google Maps APIs

Mar 02 2017 [Archived Version] □ Published at Maps under tags  google cloud maps

Customers care about convenience and expect fast responses, so a company’s ability to provide “last mile delivery”—quick, on-demand delivery service—can make or break its relationship with a customer. Asia-Pacific companies that rely on last-mile service are tapping into the cloud’s ability to amass and analyze data–specifically, using Google Maps to route drivers to the fastest path to a customer’s front door.

Committing to delivery windows

Swiggy, a local food delivery service based in India, delivers meals from restaurants in major cities like Bangalore and Delhi within a 40-minute delivery window. To make sure drivers can meet this commitment, Swiggy uses the Google Maps Distance Matrix API and Google Maps Places API to find and display only those restaurants that are within four to five kilometers of the customer. Once the customer places an order from one of the local restaurants, Swiggy uses the Google Maps Directions API to help drivers find directions to restaurants and customers.

special-delivery-1

Business is booming for Swiggy as a result of leveraging location data and the cloud to meet its delivery time commitment. Business has grown 25 percent per month, and nearly 80 percent of orders come from repeat customers.

Providing online estimates for delivery times

Bigbasket, India’s largest online food and grocery store, relies on mapping data too, but allows customers to choose a time window for delivery. For those who need their deliveries pronto, the company also offers an express service that delivers orders within 90 minutes.

When customers place orders on Bigbasket’s mobile app, they set their location on a Google map. The location determines the menu of products they are shown, as well as prices. Bigbasket used the Google Maps Javascript API to build a web-based app for the company’s backend that tracks all orders and delivery progress. Dispatchers use the Google Maps Directions API to match drivers with orders and customers, and the Google Distance Matrix API to estimate the time of arrival for deliveries.  The delivery recipe is working: Bigbasket has grown to four million customers, with more than one million orders every month.

Improving driver productivity and efficiency

For honestbee, an online concierge and delivery service based in Singapore, the last-mile goal was to improve driver and dispatcher efficiency. Using Google Maps, honestbee created a web-based map that shows the locations of drivers and their pickup and dropoff destinations.

The company uses the Google Distance Matrix API to build a batching engine, which automates dispatching drivers, and optimizes pickup and dropoff points. In instances where deliveries are too complex to be automatically handled by the batching engine, dispatchers match drivers with customers using a web-based map built with the Google Maps Javascript API.

special-delivery-2

Timely and speedy delivery plays a key role in customer satisfaction in today’s on-demand world. With accurate cloud-based mapping resources, merchants are finding ways to shave off precious minutes from last-mile delivery routes so customers keep coming back.


Special delivery with Google Maps APIs

Mar 02 2017 [Archived Version] □ Published at Maps under tags  google cloud maps

Customers care about convenience and expect fast responses, so a company’s ability to provide “last mile delivery”—quick, on-demand delivery service—can make or break its relationship with a customer. Asia-Pacific companies that rely on last-mile service are tapping into the cloud’s ability to amass and analyze data–specifically, using Google Maps to route drivers to the fastest path to a customer’s front door.

Committing to delivery windows

Swiggy, a local food delivery service based in India, delivers meals from restaurants in major cities like Bangalore and Delhi within a 40-minute delivery window. To make sure drivers can meet this commitment, Swiggy uses the Google Maps Distance Matrix API and Google Maps Places API to find and display only those restaurants that are within four to five kilometers of the customer. Once the customer places an order from one of the local restaurants, Swiggy uses the Google Maps Directions API to help drivers find directions to restaurants and customers.

special-delivery-1

Business is booming for Swiggy as a result of leveraging location data and the cloud to meet its delivery time commitment. Business has grown 25 percent per month, and nearly 80 percent of orders come from repeat customers.

Providing online estimates for delivery times

Bigbasket, India’s largest online food and grocery store, relies on mapping data too, but allows customers to choose a time window for delivery. For those who need their deliveries pronto, the company also offers an express service that delivers orders within 90 minutes.

When customers place orders on Bigbasket’s mobile app, they set their location on a Google map. The location determines the menu of products they are shown, as well as prices. Bigbasket used the Google Maps Javascript API to build a web-based app for the company’s backend that tracks all orders and delivery progress. Dispatchers use the Google Maps Directions API to match drivers with orders and customers, and the Google Distance Matrix API to estimate the time of arrival for deliveries.  The delivery recipe is working: Bigbasket has grown to four million customers, with more than one million orders every month.

Improving driver productivity and efficiency

For honestbee, an online concierge and delivery service based in Singapore, the last-mile goal was to improve driver and dispatcher efficiency. Using Google Maps, honestbee created a web-based map that shows the locations of drivers and their pickup and dropoff destinations.

The company uses the Google Distance Matrix API to build a batching engine, which automates dispatching drivers, and optimizes pickup and dropoff points. In instances where deliveries are too complex to be automatically handled by the batching engine, dispatchers match drivers with customers using a web-based map built with the Google Maps Javascript API.

special-delivery-2

Timely and speedy delivery plays a key role in customer satisfaction in today’s on-demand world. With accurate cloud-based mapping resources, merchants are finding ways to shave off precious minutes from last-mile delivery routes so customers keep coming back.


Special delivery with Google Maps APIs

Mar 02 2017 [Archived Version] □ Published at Maps under tags  google cloud maps

Customers care about convenience and expect fast responses, so a company’s ability to provide “last mile delivery”—quick, on-demand delivery service—can make or break its relationship with a customer. Asia-Pacific companies that rely on last-mile service are tapping into the cloud’s ability to amass and analyze data–specifically, using Google Maps to route drivers to the fastest path to a customer’s front door.

Committing to delivery windows

Swiggy, a local food delivery service based in India, delivers meals from restaurants in major cities like Bangalore and Delhi within a 40-minute delivery window. To make sure drivers can meet this commitment, Swiggy worked with Google partner Media Agility to integrate Google Maps APIs. Their application uses the Google Maps Distance Matrix API and Google Maps Places API to find and display only those restaurants that are within four to five kilometers of the customer. Once the customer places an order from one of the local restaurants, Swiggy uses the Google Maps Directions API to help drivers find directions to restaurants and customers.

special-delivery-1

Business is booming for Swiggy as a result of leveraging location data and the cloud to meet its delivery time commitment. Business has grown 25 percent per month, and nearly 80 percent of orders come from repeat customers.

Providing online estimates for delivery times

Bigbasket, India’s largest online food and grocery store, relies on mapping data too, but allows customers to choose a time window for delivery. For those who need their deliveries pronto, the company also offers an express service that delivers orders within 90 minutes.

When customers place orders on Bigbasket’s mobile app, they set their location on a Google map. The location determines the menu of products they are shown, as well as prices. Bigbasket used the Google Maps Javascript API and worked with Google partner Media Agility to build a web-based app for the company’s backend that tracks all orders and delivery progress. Dispatchers use the Google Maps Directions API to match drivers with orders and customers, and the Google Distance Matrix API to estimate the time of arrival for deliveries.  The delivery recipe is working: Bigbasket has grown to four million customers, with more than one million orders every month.

Improving driver productivity and efficiency

For honestbee, an online concierge and delivery service based in Singapore, the last-mile goal was to improve driver and dispatcher efficiency. Using Google Maps, honestbee created a web-based map that shows the locations of drivers and their pickup and dropoff destinations.

The company uses the Google Distance Matrix API to build a batching engine, which automates dispatching drivers, and optimizes pickup and dropoff points. In instances where deliveries are too complex to be automatically handled by the batching engine, dispatchers match drivers with customers using a web-based map built with the Google Maps Javascript API.

special-delivery-2

Timely and speedy delivery plays a key role in customer satisfaction in today’s on-demand world. With accurate cloud-based mapping resources, merchants are finding ways to shave off precious minutes from last-mile delivery routes so customers keep coming back.


What’s New in Configurable Apps (March 2017)

Mar 02 2017 [Archived Version] □ Published at ArcGIS Blog under tags  arcgis online configurable apps march 2017 release

The March 2017 release for ArcGIS Online is a significant release providing updates and new functionality in many areas.  For configurable apps, this release is strongly focused on bug fixes and stabilization, but we also want to highlight a few … Continue reading


What’s New in World Imagery Basemap (March 2017)

Mar 02 2017 [Archived Version] □ Published at ArcGIS Blog under tags  arcgis online basemaps community basemaps community maps digitalglobe

As part of the March updates to ArcGIS Online, we have updated large parts of our World Imagery basemap with imagery from DigitalGlobe, USDA Farm Services Agency (FSA), and others in the GIS user community. The update features new and … Continue reading


Whats New Scene Viewer (March 2017)

Mar 02 2017 [Archived Version] □ Published at ArcGIS Blog under tags  3d arcgis online march 2017 release scene viewer uncategorized

In this latest release for ArcGIS Online we have added in a few new features to the Scene Viewer that can help you create interesting web scenes. Enhancements to Point Layer Styles In the December release of the Scene Viewer … Continue reading


A Scent of Spring Awaits

Mar 02 2017 [Archived Version] □ Published at The EPA Blog under tags  hábitats healthy waters native plants philadelphia international flower show

by Jeff Lapp Preparations are almost complete for the 2017 Philadelphia Flower Show, March 11-19! Whether the show team at EPA is ready or not, the time for set-up is once again upon us.  The official day to begin construction of our display is March 6, however, plants have been forced for weeks and the(...)