IKEA

IKEA, founded in 1943, is a Swedish brand known for affordable, stylish furniture and home goods. Its flat-pack designs make assembly easy and reduce costs. IKEA also offers popular Swedish-inspired food, like meatballs and pastries, in its restaurants. Focused on sustainability, IKEA aims to be climate-positive by 2030.

2023
Date joined
16,000
Caplena users
40+
Languages analyzed
10%
Increase in food satisfaction after targeted improvements
Customer feedback comments (3M per month)

Data stream analyzed

How IKEA Uses Over 3 Million Feedback Comments in 40 Languages to Meet Customer Needs Like Never Before

Tim Stierman, Digital Product Leader @ IKEA

IKEA, a global leader in furniture and home solutions, is equally committed to providing outstanding customer experiences. To understand and improve customer satisfaction across their 63 markets in over 40 languages, IKEA partnered with Caplena, a text analytics platform powered by machine learning. Tim Stierman, Digital Product Leader at IKEA’s Customer Experience Insights Platform, explains how Caplena has transformed IKEA’s approach to customer feedback, making insights faster and more accurate.

Key Results

  1. 3 Million Customer Feedbacks Processed Monthly: Uncovering real-time insights that drive actionable improvements and boost customer satisfaction globally

  2. 16,000 Employees Using Worldwide: Empowering employees to make data-driven decisions that enhance customer experience

  3. 40+ Languages Analyzed: Delivering consistent, high-quality insights across diverse markets to ensure IKEA meets customer needs everywhere

The Challenge

IKEA’s global reach made analyzing customer feedback a challenge. Before, IKEA used a lexicon-based method to classify topics, which was labor-intensive and inconsistent across languages. Creating and maintaining dictionaries manually across 40+ languages resulted in unreliable insights.

Then, adopting AI-powered automation led to the following benefits:

  • Reducing inefficiency: automated analysis eliminates time-consuming manual work, freeing up teams to focus on impactful tasks

  • Ensuring consistency: AI-powered accuracy across languages provides reliable insights for every market

  • Building trust: Improved data quality empowers teams with the confidence to make informed decisions

A large portion of customer feedback was also being grouped into a broad “General” category, which hid specific insights and made precise decision-making harder. For example, feedback like “Eating at IKEA” was often classified too generally, with the lexicon method missing finer details such as food quality or wait times. This made analysis and action more challenging.

IKEA customer feedback classification before Caplena

With Caplena’s AI-powered text analytics capabilities, IKEA overcame these challenges by automating and refining topic classification across all languages. This shift led to more precise insights and improved decision-making.

Transition to Caplena

Seeking a more scalable solution, IKEA launched a detailed Request for Proposal process, beginning with 10 vendors. After testing the top three, Caplena was chosen for its superior accuracy and efficiency. This success led IKEA to pilot Caplena in key markets. With positive results, IKEA rolled out Caplena globally.

Implementation & Results

IKEA’s customer feedback process is thorough, gathering data from digital platforms, customer support centers, and open web sources.
They focus on three main feedback areas:

  1. Satisfaction rating: Overall customer satisfaction.

  2. Closed business questions: Specific questions related to IKEA’s business.

  3. Open-ended questions: Insights into the reasons behind customer satisfaction or dissatisfaction.

“

Caplena’s AI and machine learning allow us to understand and respond to customer feedback in real-time, putting the customer first in every market, regardless of language. It’s no longer just about gathering data but truly meeting customer needs in ways we couldn’t before."

Tim Stierman

Digital Product Leader

Tim Stiermann Case Study

Case Example: IKEA’s Food Experience

Food is a crucial part of IKEA’s business, generating nearly €2 billion in annual turnover. However, in a pilot study on food in a selected market, customer satisfaction with the food experience fell below the global average.

By using Caplena to analyze feedback, IKEA identified key areas for improvement and took the following actions:

  • Checkout Waiting Time: Implemented a new payment technology solution.

  • Value for Money: Halted price increases and introduced family member offers.

  • Cleanliness: Improved the appeal and cleanliness of food areas.

  • Co-worker Friendliness: Enhanced training to ensure a more welcoming atmosphere.

  • Coffee Selection: Improved the coffee offering to meet customers' high expectations.

IKEA customer feedback topic assignment after Caplena

As a result, the overall satisfaction score for IKEA’s food experience in this market rose by 10%, highlighting the direct impact of feedback analysis on business improvements.

Future Directions

Looking forward, IKEA plans to combine customer feedback with broader business data to gain a more complete understanding of customer needs. They also aim to harness AI and conversational AI to improve their ability to interpret feedback quickly and accurately, allowing for faster and more precise responses to customer concerns.

Conclusion

IKEA’s work with Caplena has transformed how they handle customer feedback, going beyond just saving time. By automating and accurately analyzing feedback in different languages, IKEA now gets clear insights that help improve customer experience in every market. This change allows IKEA to better understand and respond to what customers need, showing their commitment to excellent service worldwide and helping them grow by connecting with customers on a deeper level.