Self-Optimizing Search with Loomi AI

The platform's search engine doesn't just react to queries; it learns from every interaction. It analyzes user behavior to continuously readjust search result sequences, presenting shoppers with the products they are most likely to buy. This moves beyond simple keyword matching to understanding intent and preference.

Business outcome: Continuously improving search relevance that increases revenue per search user without manual intervention.

First-Party Data Harvesting for Individualized Results

Bloomreach Discovery captures and utilizes every search, purchase, click, and preference to build a detailed profile for each shopper. This goes beyond basic clickstream data, enabling the platform to deliver a personalized experience that demonstrates a deep understanding of the customer's needs and style.

Business outcome: Higher engagement and conversion rates by showing each shopper a tailored product selection that feels curated for them.

Proactive On-Site Shopping Assistant

The integrated shopping agent proactively engages site visitors in real-time, offering personalized assistance and product recommendations. It answers questions instantly and guides customers through their journey, transforming passive browsing into high-converting, two-way conversations.

Business outcome: Increased conversion rates by providing immediate, confident guidance that reduces friction and mimics a personal sales associate.

Actionable Insights into Shopper Behavior

The platform provides robust monitoring and intelligence capabilities, constantly tracking user behavior to identify trends and opportunities. This gives ecommerce teams a clear view of what is working and why, replacing the 'light analytics' of internal systems with deep, actionable data.

Business outcome: Data-driven decision-making for merchandising and marketing strategies, leading to more effective campaigns and product placements.

Smarter Product Discovery and Merchandising

The platform enables sophisticated searchandising, allowing businesses to blend search results with merchandising strategies. It helps surface high-margin or strategically important products while maintaining relevance, as evidenced by its use at Sur La Table to serve up smarter search results.

Business outcome: Improved product discovery that aligns with business goals, such as promoting specific lines or clearing inventory, directly impacting profitability.

Enterprise-Grade Infrastructure for High Volume

Built to handle the demands of large ecommerce operations, the platform is designed to maintain performance and intelligence during peak traffic events like Black Friday Cyber Monday (BFCM). This addresses the common problem of deliverability delays and performance degradation seen in legacy systems.

Business outcome: Reliable and consistent performance during high-traffic sales events, ensuring no revenue is lost to slow or failed search functionality.

• Autonomous OptimizationThe Loomi AI engine continuously learns and adjusts search results without manual input, saving significant team time and improving performance.
• Deep PersonalizationLeverages comprehensive first-party data to create a unique, personalized experience for every single shopper, not just segments.
• Proven Enterprise ResultsCase studies from major brands like Canadian Tire show measurable lifts in conversions and revenue, demonstrating its effectiveness at scale.
• Integrated AI EcosystemAs part of the broader Bloomreach platform, it can integrate with email and marketing automation, creating a unified customer data and engagement engine.

• Opaque PricingThe lack of public pricing makes it difficult to budget without a sales conversation, which can be a barrier for smaller teams.
• Implementation ComplexityIntegrating an enterprise-level search platform and migrating from an existing solution requires dedicated technical resources and project management.
• Resource InvestmentWhile the platform automates search, it still requires a team to manage the platform, analyze insights, and configure the AI to align with business goals.
• Professional RealityThe 'self-driving' nature of the AI requires trust; teams must be willing to let go of manual control and rely on the system's recommendations, which can be a significant cultural shift.

Large Retailers with Diverse Catalogs

For businesses with thousands of SKUs and varied customer segments, the platform's AI is essential for surfacing the right products to the right people, as seen with Canadian Tire's success across multiple brands.

Brands Focused on Customer Experience

Companies like Living Spaces use the platform to personalize search for every lifestyle, creating a digital experience that feels tailored and immediate, which is crucial for brand loyalty.

Ecommerce Teams Scaling for Peak Events

Businesses that need reliable, high-performance search during traffic spikes like BFCM will benefit from the platform's enterprise-grade infrastructure, avoiding the deliverability delays seen in legacy systems.

Data-Driven Merchandising Teams

Teams looking to move beyond manual searchandising will find the platform's analytics and intelligence capabilities crucial for understanding shopper behavior and making informed decisions.

Request a demo or contact the sales team to discuss your business needs and get a custom pricing quote.

Plan the integration with your ecommerce platform and catalog, ensuring your product data is clean and structured.

Configure the search experience and set up the Loomi AI, defining initial business goals and KPIs for the platform.

Launch the new search and monitor the analytics dashboard to understand performance, then let the AI optimize over time.