Increase number of orders through enriched product data.
Sector
Wholesaler
Products
50,000+
Employees
5,000+
Sligro asked Squadra to conduct POCs for ‘pans’ and ‘drinking cups’. Using PowerImprove.ai, Squadra automated supplementing product characteristics, marking a transformative partnership for Sligro.
Thanks to the collaboration with Squadra Machine Learning Company and the implementation of PowerImprove.ai, Sligro has enriched its product data efficiently and accurately. This has not only led to an improved customer experience but also remarkable results: the pans are now 84% more discoverable, resulting in an 18% increase in the number of placed orders.
Background
Sligro Food Group, established in 1935, is a leading Dutch food service and wholesale company with a strong presence in the Netherlands and Belgium. With a vast assortment of over 50,000 unique food and non-food products, Sligro serves a diverse clientele, including restaurants, caterers, and institutional customers. Sligro is committed to providing high-quality products and services, fostering long-term relationships with its customers and maintaining a prominent position in the food service market.
+ 0 %
Orders
+ 0 %
Online findability
+ 0 %
Improved data quality
+ 0 %
Reduced time to market
The challenge.
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Limited product data availability
Sligro faced a challenge in enriching data for approximately 20,000 non-food products, which initially had only limited product characteristics available. Without sufficient product details, customers lacked the necessary information to make informed purchasing decisions, affecting their overall experience.
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Manual data entry
To enhance the customer experience, Sligro aimed to enrich product data using external sources such as PDFs, images, and external websites. However, manually entering product characteristics proved to be a time-consuming and error-prone process, making it difficult to scale efficiently.
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Need for an automated solution
To improve the speed, accuracy and efficiency of data collection, Sligro sought a solution that could automate the enrichment of product data while minimizing human error. This would allow them to provide customers with more detailed and reliable product information, ultimately enhancing their shopping experience.
Our solution.
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Proof-of-concept approach
To address the challenges of product data enrichment, Sligro partnered with Squadra to conduct two proof-of-concepts (POCs) focused on the product categories ‘pans’ and ‘drinking cups’. These POCs aimed to test the feasibility of automating the extraction and enrichment of product characteristics.
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Implementation of PowerImprove.ai
Squadra Machine Learning Company deployed their software product, PowerImprove.ai, which leverages advanced algorithms to extract product data from texts, images, PDFs, and websites. This AI-driven approach significantly reduced the reliance on manual data entry.
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Automated data enrichment
With PowerImprove.ai, Sligro was able to automatically supplement product characteristics, ensuring a faster, more accurate, and efficient data enrichment process. This solution helped provide customers with comprehensive product information, ultimately improving their shopping experience.
The result
PowerSuite has empowered Sligro to...
Boost operational efficiency
By automating product data enrichment, Sligro significantly reduced manual effort, allowing employees to focus on higher-value tasks rather than time-consuming data entry.
Improve data consistency
With PowerImprove.ai, product characteristics were extracted and standardized, ensuring a more uniform and reliable product catalog across all platforms.
