Download PDF
Quick Commerce Provider Automates Delivery Allocation and Scales On-Time Delivery Volumes
Technology Category
- Functional Applications - Warehouse Management Systems (WMS)
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Logistics & Transportation
- Warehouse & Inventory Management
Use Cases
- Fleet Management
- Predictive Maintenance
- Real-Time Location System (RTLS)
- Supply Chain Visibility
Services
- System Integration
- Software Design & Engineering Services
The Challenge
Rapid growth in demand for its grocery delivery presented the customer with scalability challenges. Other operational problems like manual processes, poor visibility, and difficulties in ensuring customer centricity were weighing down their delivery operations. The need to address end-user privacy, growing first-attempt delivery failures, poor customer experience, and delivery visibility, inability to scale operations based on market demands, inability to customize deliveries based on business needs, inefficient slot-based delivery management, and manual delivery allocation of drivers and routes were some of the critical challenges they had to address to sustain growth.
About The Customer
The customer, an eCommerce major’s B2C delivery venture, is an online supermarket application for getting fruits, vegetables, dairy products, bakery items, and other daily essentials delivered to customers’ doorstep. Operating across 27 dark stores with more than 600 drivers, our customer manages and executes more than 2.5 lakh deliveries per month. The customer has established itself as a significant player in the quick commerce sector, focusing on providing a seamless and efficient delivery experience to its end-users.
The Solution
Our customer was looking for a delivery management partner who could empower them to generate valuable business outcomes across multiple stages of growth. Shipsy’s partnership approach, strong tech focus, accompanied by its flexible, agile, and automation-driven on-demand delivery management solution, was the natural choice for the quick commerce provider. Shipsy ensured that the solution was up and running within two weeks to ensure zero business disruptions and seamless technology migration. Key features of the solution include auto allocation of orders to drivers, geofence-based order allocation, multiple order clubbing, ensuring slot-based deliveries, real-time order tracking, unified customer communication, suspicious delivery alerts, call masking, analytics-powered dashboards, and device compatibility. These features collectively enhanced the customer’s delivery operations, ensuring faster delivery turnaround times, improved customer experiences, high levels of ETA adherence, and more.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.