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"Enhancing ecommerce with AI-driven product discovery."

Case Study
Frequently Asked Questions
The company provides AI-based solutions to improve ecommerce experiences, focusing on personalized search and product discovery. Their technology helps optimize customer interactions by utilizing machine learning and data analytics to boost sales and user satisfaction in online retail environments.
Constructor Stated Claims
These are public claims Blurbs AI believes to have been made by Constructor.
Proven Revenue Growth
Constructor claims that its platform leads to a revenue increase of up to 15% per user.
Transparent AI Technology
Constructor claims that its AI is transparent, unlike other 'black box' solutions, ensuring easy understanding and use.
High Client Retention
Constructor claims a 98.5% average client retention rate, showcasing its reliability and effectiveness.
PREDICTIVE ANALYTICS
PRODUCT DISCOVERY
CUSTOMER EXPERIENCE OPTIMIZATION
PERSONALIZED RECOMMENDATIONS
RETAIL MEDIA SOLUTIONS
AI ECOMMERCE SEARCH
ATTRIBUTE ENRICHMENT
AI SHOPPING ASSISTANT
ENTERPRISE ECOMMERCE INTEGRATION
API FIRST INTEGRATION
BlurbSTAR Case Study
Petco & Constructor
Petco boosted search conversions with Constructor's AI personalization.
4%
Increase in Sitewide Revenue
13%
Increase in Search Conversions
1.
Situation
Petco Struggles with Search Conversions
→
Ineffective Elasticsearch-based product discovery solution.
→
Search experience irrelevant and outdated for users.
→
Frequent system downtime causing potential revenue loss.
Petco, a prominent pet health and wellness retailer, was grappling with an ineffective search and browse experience on their e-commerce platform. Their pre-existing Elasticsearch-based product discovery solution fell short in delivering personalized results and was often plagued with downtime. This led to missed opportunities in converting visitors into buyers. Customers were primarily navigating through category pages instead of using the search function due to the irrelevance and outdated nature of the search results. To add to the challenge, the system was not equipped to handle the massive volume of products and the complex nature of a holistic site personalization. The need for a stable, scalable, and intelligent product discovery solution that could provide an encompassing personalized shopping experience while maintaining operational reliability was clear and pressing.
2.
Task
Implement Advanced Discovery Solution
→
Identify robust AI-powered discovery partner.
→
Achieve a data-driven, user-focused shopping experience.
→
Ensure system reliability and scalability is high.
Recognizing the shortcomings of their existing systems, Petco set out to find a robust product discovery partner that would seamlessly integrate with their chosen cloud provider to enhance their search and browse functionalities. The new solution needed to offer hyper-personalization by leveraging AI capabilities to analyze extensive amounts of shopper behavior data. Moreover, it should allow the merchandising team to exercise control over product discovery aspects, facilitating tailored product placement in real-time. Petco required a solution that could manage the site's large traffic and provide insights into how the AI operated, enabling informed decision-making. The ideal solution would eliminate technical downtimes, support the complex inventory needs of Petco's vast array of pet products, and ultimately enhance the customer shopping journey to convert more visitors into purchasers.
3.
Action
Constructor Enhances Petco’s E-commerce
→
Implemented Constructor's AI-powered platform using AWS.
→
Enabled real-time personalized product recommendations.
→
Provided advanced tools for searchandising control.
Petco chose Constructor as their new product discovery partner. Constructor deployed its AI-powered platform using AWS to ensure uninterrupted service. The Constructor system was designed to handle Petco’s extensive data inputs, analyze it using sophisticated machine learning models, and present each customer with products tailored to their specific preferences. This dynamic personalization was paired with advanced merchandising controls, granting Petco the ability to manipulate search rankings and display as necessary for optimized engagement. Constructor's platform was equipped with tools to give transparency into AI decisions, allowing Petco to customize and control their 'searchandising' efforts strategically. This partnership enabled Petco to not only automate product discovery processes but also improve kitchen-sink capabilities previously absent in their legacy systems, thus enhancing search effectiveness across the board.
4.
Result
Boosted Conversions and Revenue
→
Search conversions increased by 13%.
→
Sitewide revenue increased by 4%.
→
Empowered team with strategic insights.
The collaboration with Constructor led to a substantial improvement in Petco’s e-commerce performance. Search conversions increased by 13%, enriching the overall customer interaction. Petco also reported a 4% boost in sitewide revenue as the advanced AI solutions brought a higher level of customization and relevance to the shopping experience, ensuring that customers could find and purchase products more efficiently. AI-driven merchandising not only paid for itself through increased sales but also empowered Petco’s team with the ability to experiment and refine their approach in real-time. This transformation not only maximized Petco's e-commerce potential but also highlighted opportunities for further development and optimization through data-driven insights.
Keywords
PETCO PRODUCT DISCOVERY
CONSTRUCTOR AI
ECOMMERCE SEARCH CONVERSION
AI DRIVEN PERSONALIZATION
MERCHANDISING CONTROLS
SITEWIDE REVENUE INCREASE
AWS POWERED SOLUTIONS
RETAIL AI TECHNOLOGY
SEARCHANDISING
COMMERCE SEARCH OPTIMIZATION
Constructor
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