Author Archives: Flora Wong

Special delivery with Google Maps APIs

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

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

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.

Source: Google Cloud


Keep track — from vending machines to pets with Google Maps APIs plus IoT

Editor’s note: Over the next weeks, we’ll share stories from Google Maps customers who are building new businesses or reinventing existing ones using geolocation services and Google Maps APIs. Read on to learn how Pod Trackers, Enevo and Vagabond are using Google Maps APIs to develop Internet of Things networks.  

The Internet of Things is coming to places that you might not expect. In the service industry, companies are using geolocation services and IoT to be more efficient, save money and create entirely new businesses. Today you’ll hear about three Google Maps customers using location-based technologies to do everything from stock vending machines, collect trash — even help people keep track of their pets.

Smarter trash

The Finnish Enevo helps communities stay on top of their waste disposal by placing wireless sensors in trash and recycle bins that measure how full they are and deliver that information via a cloud-based server. With that information, waste management firms can predict exactly when bins will need emptying and arrange pick ups just when they’re needed. Integration with Google Maps APIs allows bins to be displayed on a map at their exact location and to track waste trucks in real time. Drivers use Android tablets to see where they need to be at what time of day and what routes to take.

maps-and-iot-1

In addition to helping keep the streets clean of trash, Enevo has figured out ways to streamline operations and save money for its customers. The company has reduced the number of trucks needed on the road and the amount of time drivers spend collecting trash because they aren’t making unnecessary stops or taking inefficient routes. Enevo’s geolocation app has resulted in as much as a 50 percent reduction in costs for its customers, according to Enevo CTO Pirkka Palomäki.

Stocked vending machines

What Enevo is doing for trash and recycling, Washington, D.C.-based Vagabond is doing for vending machines in North and Central America. Vagabond’s IoT network allows vending machine operators to remotely see when stock is low, as well as how quickly items are selling, to arrange for refill service as the machine needs it. The sensors provide real-time data that also can identify malfunctions so broken machines can be fixed as soon as possible. Vagabond used the Google Maps Javascript API to build the web-based application that shows the vending machines as pins on a map. Clicking a pin displays data about the machine, including stock and cash levels.

maps-and-iot-2

By mapping sensor data, Vagabond helps operators build more efficient schedules and routes to service the machines. They also maximize profit. Because operators know which products sell best in which machines, they can tailor their inventories to meet customer demand, which increases revenue per machine by an average of 15 percent, says Michael Lovett, Vagabond co-founder and CEO. Creating efficient routes reduces the amount of overtime paid to drivers, as well as gas and truck maintenance costs. Vagabond customers are seeing as much as a 15 percent reduction in spending as well, meaning operators can increase profit margins from 2.5 percent to 20 percent, according to Lovett.

Safe pets

Over the course of its lifetime, one in three pets will go missing. It’s no surprise then that pet owners see the value of IoT-based pet trackers and geolocation services. Pod Trackers offers a mobile app, available in 175 countries, that uses Google Maps APIs to show a pet’s location in real-time. It also allows people to designate “safe zones” and receive an alert when the pet travels outside a specified area. The app tracks location via GPS and Wi-Fi, which offers more precise and indoor pinpointing in case kitty is merely hiding in the closet. The small battery-operated sensor is attached to the pet’s collar and transmits data to the app over the 2G cellular network.

maps-and-iot-3

Owners can use Pod Trackers in “adventure tracking” mode, which records a pet’s location every 10 seconds for up to eight hours. There’s also an activity monitor feature for tracking a pet’s fitness.  

Pod Trackers are popular, resulting in a 300 percent year-over-year revenue growth for the company and the reuniting of an untold number of pets with their families.

These businesses are using the power of geolocation to bring visibility to areas where there previously was none. The combination of maps and sensors are bringing new efficiencies, opening up new capabilities and making lives easier. Learn more about geolocation services and IoT solutions using Google Maps APIs.

Keep track — from vending machines to pets with Google Maps APIs plus IoT

Editor’s note: Over the next weeks, we’ll share stories from Google Maps customers who are building new businesses or reinventing existing ones using geolocation services and Google Maps APIs. Read on to learn how Pod Trackers, Enevo and Vagabond are using Google Maps APIs to develop Internet of Things networks.  

The Internet of Things is coming to places that you might not expect. In the service industry, companies are using geolocation services and IoT to be more efficient, save money and create entirely new businesses. Today you’ll hear about three Google Maps customers using location-based technologies to do everything from stock vending machines, collect trash — even help people keep track of their pets.

Smarter trash

The Finnish Enevo helps communities stay on top of their waste disposal by placing wireless sensors in trash and recycle bins that measure how full they are and deliver that information via a cloud-based server. With that information, waste management firms can predict exactly when bins will need emptying and arrange pick ups just when they’re needed. Integration with Google Maps APIs allows bins to be displayed on a map at their exact location and to track waste trucks in real time. Drivers use Android tablets to see where they need to be at what time of day and what routes to take.

maps-and-iot-1

In addition to helping keep the streets clean of trash, Enevo has figured out ways to streamline operations and save money for its customers. The company has reduced the number of trucks needed on the road and the amount of time drivers spend collecting trash because they aren’t making unnecessary stops or taking inefficient routes. Enevo’s geolocation app has resulted in as much as a 50 percent reduction in costs for its customers, according to Enevo CTO Pirkka Palomäki.

Stocked vending machines

What Enevo is doing for trash and recycling, Washington, D.C.-based Vagabond is doing for vending machines in North and Central America. Vagabond’s IoT network allows vending machine operators to remotely see when stock is low, as well as how quickly items are selling, to arrange for refill service as the machine needs it. The sensors provide real-time data that also can identify malfunctions so broken machines can be fixed as soon as possible. Vagabond used the Google Maps Javascript API to build the web-based application that shows the vending machines as pins on a map. Clicking a pin displays data about the machine, including stock and cash levels.

maps-and-iot-2

By mapping sensor data, Vagabond helps operators build more efficient schedules and routes to service the machines. They also maximize profit. Because operators know which products sell best in which machines, they can tailor their inventories to meet customer demand, which increases revenue per machine by an average of 15 percent, says Michael Lovett, Vagabond co-founder and CEO. Creating efficient routes reduces the amount of overtime paid to drivers, as well as gas and truck maintenance costs. Vagabond customers are seeing as much as a 15 percent reduction in spending as well, meaning operators can increase profit margins from 2.5 percent to 20 percent, according to Lovett.

Safe pets

Over the course of its lifetime, one in three pets will go missing. It’s no surprise then that pet owners see the value of IoT-based pet trackers and geolocation services. Pod Trackers offers a mobile app, available in 175 countries, that uses Google Maps APIs to show a pet’s location in real-time. It also allows people to designate “safe zones” and receive an alert when the pet travels outside a specified area. The app tracks location via GPS and Wi-Fi, which offers more precise and indoor pinpointing in case kitty is merely hiding in the closet. The small battery-operated sensor is attached to the pet’s collar and transmits data to the app over the 2G cellular network.

maps-and-iot-3

Owners can use Pod Trackers in “adventure tracking” mode, which records a pet’s location every 10 seconds for up to eight hours. There’s also an activity monitor feature for tracking a pet’s fitness.  

Pod Trackers are popular, resulting in a 300 percent year-over-year revenue growth for the company and the reuniting of an untold number of pets with their families.

These businesses are using the power of geolocation to bring visibility to areas where there previously was none. The combination of maps and sensors are bringing new efficiencies, opening up new capabilities and making lives easier. Learn more about geolocation services and IoT solutions using Google Maps APIs.