A Long-Term Partnership
Company Size
1,000+
Region
- Asia
Country
- India
Product
- JDA Advanced Store Replenishment
- JDA Advanced Warehouse Replenishment
- JDA Allocation
- JDA Assortment Planning
- JDA Floor Planning
- JDA Merchandise Management System
- JDA Space Planning
Tech Stack
- Retail Planning Suite
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
- Revenue Growth
Technology Category
- Functional Applications - Inventory Management Systems
- Functional Applications - Warehouse Management Systems (WMS)
Applicable Industries
- Retail
Applicable Functions
- Logistics & Transportation
- Warehouse & Inventory Management
Use Cases
- Inventory Management
- Supply Chain Visibility
About The Customer
Shoppers Stop Limited is a pioneer of modern retailing in India. The company launched the concept of “one-stop shopping” in 1991, providing high-quality merchandise and excellent customer service at its large-format department stores. Six years later, the retailer had outgrown its legacy transaction and technology systems, and turned to JDA Software to help support the expansion of its retail model. Today, Shoppers Stop is India’s largest department store chain, and together with its affiliated companies, operates more than 65 large-format department stores, 80 Crossword bookstores, and 10 hypermarkets, airport retail and home-concept stores.
The Challenge
Shoppers Stop, India's largest department store chain, was facing challenges with its store replenishment process. The retailer was using a fixed-stock method of replenishment, which did not always ensure that the best-selling stores received new styles first. In some categories, inventory was over- or under-stocked, and stock transfers between stores added to internal supply chain pressures and costs. As the overall scale of the business grew, store replenishment was becoming more cumbersome. Shoppers Stop needed an automated, intelligent solution that would ensure that its stores receive the right amount of merchandise that will sell, and enable it to manage store replenishment by category.
The Solution
Shoppers Stop selected JDA Allocation, which enables it to leverage product sales data to establish the ability of a store to sell product before replenishing. For new products, historical sales data of similar products can be used to determine first-time store replenishment. This solution has resulted in fresher looking merchandise in stores, and by selling more merchandise at full price, Shoppers Stop has experienced fewer markdowns and better margins. Since implementing JDA Allocation in all of its stores, Shoppers Stop has realized impressive results. The retailer has seen a marked improvement in inventory turns, which has contributed significantly to the increase in sales at the chain level. An even inventory distribution across store locations has reduced instances of over-stocking and inter-store transfers, thereby resulting in greater supply chain efficiencies.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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.
