Overview
A company, a leading auto parts retailer, manages an extensive e-commerce platform with thousands of SKUs, including brake pads, engine oil filters, and car batteries. Their business success relies on customers quickly finding the right products based on compatibility, brand, and specifications. However, with Odoo’s default search, they struggled to deliver a seamless experience, affecting both sales and user satisfaction.
Challenges
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Despite leveraging Odoo’s built-in search functionality, The company encountered several critical issues that hindered efficiency and customer experience:
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Missed Search Results Due to Typos: Customers often made minor spelling mistakes (e.g., “brak pad” instead of “brake pad”). This led to zero search results and lost sales because Odoo’s default search functionality relies on exact matches. As a result, a single spelling mistake could prevent customers from finding what they need.
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Rigid Keyword Matching: Odoo’s default search lacked synonym recognition, which prevented customers from finding relevant products. For example, searching for “engine filter” did not display “oil filter” results. So, customers had to manually browse through categories or think of another keyword.
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Slow Search Performance with Large Databases: As the business expanded, so did the number of records in Odoo. Odoo’s search performance degraded, as it took longer time to process. This resulted in slow response times, especially when handling a large inventory and customer database.
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Irrelevant Search Ranking: Customers searching for specific items often saw unrelated products at the top of search results, requiring them to manually sift through listings.
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Limited Filtering Capabilities: Customers required refined searches based on multiple parameters (e.g., vehicle model, year, and part type). However, Odoo’s default filtering options were inadequate.
Our Solution
To address these challenges, we integrated Elasticsearch with the client’s Odoo system, significantly enhancing search functionality and user experience. The key improvements included:
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Fuzzy Search: The Elasticsearch and Odoo integration enabled typo tolerance, allowing customers to find products even with minor misspellings (e.g., “brak pad” still displayed “brake pad”).
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Auto-Suggestions: Elasticsearch provided real-time matching product suggestions as users typed, reducing search effort.
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Synonym Mapping: It efficiently mapped related terms (e.g., "engine filter" and "oil filter"), ensuring broader and more relevant search
Results & Impact
Customers received search results instantly, improving website responsiveness.
More accurate and intuitive search led to better product discovery.
Smart ranking and filtering reduced frustration and search time.
The solution handled a growing database without performance degradation.
Odoo’s PostgreSQL resources were freed up for other critical operations.
Conclusion
The integration of Elasticsearch with Odoo proved to be a game-changer for The company, transforming their e-commerce search experience into a powerful, intuitive, and efficient system. By addressing the core challenges of slow performance, rigid keyword matching, and limited filtering options, the solution empowered customers to find the right auto parts with ease, regardless of typos, synonyms, or complex queries. It led to faster search speeds, increased conversion rates, and improved customer satisfaction, ultimately driving higher revenue and operational efficiency.
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