Flamingo's Digital Transformation: Boosting Conversions and Customer Satisfaction with Infobip's Contact Center Solution
Technology Category
- Networks & Connectivity - NFC
- Sensors - Level Sensors
Applicable Industries
- Consumer Goods
- Retail
Applicable Functions
- Procurement
- Sales & Marketing
Use Cases
- Chatbots
- Speech Recognition
Services
- Cloud Planning, Design & Implementation Services
About The Customer
Flamingo is a Colombian retail company with several stores nationwide. The company offers a wide range of products, including clothing, footwear, cosmetics, personal care products, jewelry, mobile phones, hardware, and furniture. In addition to its physical stores, Flamingo has expanded its business to include a web shop and financial services. The company currently serves 5.3 million customers, providing them with a diverse selection of products and services to meet their various needs.
The Challenge
Flamingo, a Colombian retail company with a diverse product portfolio and a customer base of 5.3 million, faced a significant challenge when the global pandemic hit. The company's call center experienced a surge in customer queries, which overwhelmed the agents and led to a decline in customer satisfaction and service quality. On a typical day, 12 to 15 agents handled incoming calls, but they struggled due to the repetitive nature of the queries, the time-consuming voice calls, and the difficulty in understanding customers' needs quickly. This situation resulted in negative customer feedback due to poor response times. Flamingo's primary goal was to transition from voice-only customer service to include chat channels, aiming to reduce hold times and call center costs. They needed a solution that would enable faster real-time customer service and automate processes.
The Solution
Flamingo decided to implement Infobip's digital contact center solution, Conversations, and build a self-service chatbot. The company focused on its financial services customers, who preferred chatting with brands on WhatsApp. Infobip's solution provided agents with a 360-degree view of clients and integrated chat channels like WhatsApp. The solution offered a single view of ongoing conversations, complete chat history, and customer details, including purchase history. Flamingo was operational with the solution in less than a week. The first step was to offload simple queries from agents by setting up a WhatsApp keyword chatbot that provided instant responses to financial services and payment arrangement queries. If a customer couldn't find the answers they were looking for, they were redirected to a live agent for further assistance. Customers could now check their balance, generate tax certificates, receive store and credit relief information, and complete purchases directly through chat.
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 Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
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
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
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.