Increase retention at scale with natural language generation
Company Size
1,000+
Product
- Quill
Tech Stack
- Natural Language Generation (NLG)
- Artificial Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Natural Language Processing (NLP)
Applicable Industries
- E-Commerce
- Software
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Predictive Replenishment
Services
- Software Design & Engineering Services
- System Integration
About The Customer
The client is one of the largest e-commerce companies globally, encompassing over 70 businesses that span various sectors including retail, digital content, communications, and financial technology. With a reach that extends to nearly 1.3 billion members worldwide, the company aims to bring the joy of discovery to its vast user base. The company's affiliate marketing group plays a crucial role in helping online retailers generate sales and traffic by publishing marketing campaigns on external websites. This group services thousands of clients, making it essential to provide effective and personalized support to optimize their marketing efforts.
The Challenge
The client, a major e-commerce company with over 70 businesses, faced significant challenges in providing personalized recommendations to their affiliate marketing clients. Despite having large amounts of campaign data, Account Managers struggled to collate and present this data in a digestible format, especially for 'self-service' clients who received little to no support from the client services team. This lack of personalized insights made it difficult for these clients to optimize their campaigns effectively, leading to lower engagement and retention rates.
The Solution
To address these challenges, the e-commerce giant partnered with Narrative Science to implement its natural language generation (NLG) platform, Quill. This platform automates the creation of personalized performance reports for the affiliate marketing clients. These reports are now sent to advertisers more frequently and include detailed insights on how to optimize their campaigns. The insights cover top and bottom performers, partnership opportunities, and suggestions to increase click volume, conversions, and ultimately sales. The primary goals of this initiative are to increase retention rates, provide personalization at scale, enhance engagement with the Advertiser Dashboard tool, and improve the overall client experience.
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
Digital Transformation of Atlanta Grout & Tile: An IoT Case Study
Atlanta Grout & Tile, a Tile, Stone & Grout restoration company based in Woodstock, Georgia, was facing challenges with its traditional business model. Despite steady growth over the years, the company was falling behind the web revolution and missing out on the opportunity to tap into a new consumer base. They were using independent software from different vendors for each of their department information and workforce management. This resulted in a lot of manual work on excel and the need to export/import data between different systems. This not only increased overhead costs but also slowed down their response to clients. The company also had to prepare numerous reports manually and lacked access to customer trends for effective business decision-making.
Case Study
IFFCO Boosts IT Performance and Innovates Agriculture with Oracle Cloud
Indian Farmers Fertiliser Cooperative Ltd. (IFFCO), the world’s largest manufacturer and marketer of fertilizers in the cooperative sector, was facing several challenges in its quest to innovate and improve the livelihood of farmers in India. The organization had recently launched a new product, nano urea, which brought new demands to IFFCO’s cloud computing needs. The organization needed a reliable cloud vendor to support the processes of 6–7 new manufacturing plants during the upcoming year, enhancing its production capability 300–350 million bottles of nano urea to meet increasing demand. IFFCO’s cloud adoption was driven by a need to innovate. The organization wanted capabilities for a dynamic business that can adapt to the changing needs of the market while growing fast. However, it was inhibited by rigid on-premises data center deployments and the overhead of maintaining legacy systems. IFFCO wanted to apply the elasticity and availability of cloud for improving overall performance of applications at lowest possible operational overhead. Lastly, IFFCO needed to provide the benefits of its technology to all its stakeholders, including employees, members, transporters, and farmers, some of whom have limited literacy. To accommodate all stakeholders, IFFCO wanted to add a voice interface to its applications.
Case Study
7-Eleven Philippines Enhances Customer Support with Freshdesk
7-Eleven Philippines, a pioneer of 24-hour convenience stores in the country, was facing challenges with its customer support system. The customer support was outsourced to an external vendor, which resulted in limited visibility into customer query patterns and performance metrics. The company had no transparency into the vendor's analytics and could not validate their reports. They also had no visibility into the volume of calls, number of abandoned calls, etc. due to the use of the vendor’s telephony solution. This lack of control and visibility into customer support led the team to decide to bring the entire function in-house. They began exploring helpdesk solutions that would enable them to build a strong in-house support team.
Case Study
Kaafmeem Enhances Customer Operations with Freshchat and WhatsApp Integration
KaafMeem, a Saudi-based fashion e-commerce company, was facing challenges in its customer service operations. The company, which specializes in modern Arabic fashion, had traditionally used email and direct calls to handle sales queries, delivery information requests, and questions about refunds and replacements. However, they wanted to provide a more user-friendly channel for their customers to immediately access the Kaafmeem team. They were looking for a solution that would allow them to open a direct dialogue with their consumers, making the shopping experience as seamless and convenient as possible. The challenge was to find a platform that was popular among their customer base and could be integrated easily into their existing operations.
Case Study
Software Development Partnership with PrettyLittleThing: Enhancing E-commerce Capabilities
PrettyLittleThing, a rapidly growing UK-based fashion retailer, faced the challenge of expanding its software development capabilities to keep up with its business growth. The company needed a strategic tech partner who could assemble a team of dedicated software engineers with experience in developing e-commerce solutions and high load systems. The primary goals were to extend the in-house team with strong software engineers experienced in PHP, various JavaScript frameworks, AWS, and other technologies; automate the process of product creation on the client’s e-commerce website that has over 30,000 items; and speed up the software development process. The challenges included establishing effective communication and alignment among different distributed teams and developing functionality that helps manage thousands of products easily.
Case Study
Aramex Boosts Agent Productivity by 50% with Freshservice Implementation
Aramex, an international express, mail delivery, and logistics services company based in Dubai, was facing challenges in delivering consistent, quality IT services and support to its employees. As the organization grew, responding to service requests in a timely manner became increasingly difficult due to outdated processes and communication silos. Aramex was using an in-house legacy IT service desk that was rigid, ill-defined, and required constant resources to maintain and upgrade. The on-premise system was not easy to scale and could not keep up with the growing needs of Aramex. The company was in need of a flexible, agile IT service desk that could streamline its workflow and improve ticket resolution time.
