About this Tool

Constructor is an AI-powered ecommerce product discovery solution that makes it easier for online retailers to perform ecommerce product discovery in order to enhance product search, personal shopping, merchandising and conversions. Its machine learning and reinforcement learning, customer behavior and product data-rich Commerce Reasoning Engine brings a relevant shopping experience to every customer, powering the web, mobile apps and AI shopping agents.

What is Constructor?

Constructor is an enterprise AI platform, specifically designed for ecommerce search and product discovery.

The Constructor Commerce Reasoning Engine analyzes the intent of shoppers, browsing behavior, and product attributes and contextual signals, which are not understood by the standard search engine.

The platform unites all the essentials—search, recommendations, category-browsing, merchandising and conversational AI—into a single, cohesive system. It also utilizes reinforcement learning algorithms to inform itself of shoppers’ interactions to enhance the ranking of products and their discovery process.

These are some of the features:

• AI Powered Ecommerce Search: Enables consumer intent, misspellings and natural language search to provide a relevant product result.
• Personalized Auto-Complete: Proposes search results and product recommendations to customers as they add each letter to their search query.
• Smart Product Recommendations: Suggests similar products, alternatives and personal products, according to the actions of the shoppers
• AI Shopping Agent: Helps customers search to products via dialogue and questions.
• Product Insights Agent: To reply customer inquiries on the products, provide customers with product information that is suitable for them, to assist in sales.
• Merchant Intelligence Agent: Supports ecommerce teams to thoroughly research product rankings, decode performance problems and fix them.
• Intelligent Category Browsing: Customizes category and brand pages to tailor to the interest of the customer and his shopping habits.
• Dynamic Collections: Product Groups can be created based on custom rules, catalogue and/or merchandising requirements.
• AI Attribute Enrichment: Enhanced AI attributes with Generative AI generated product descriptions and attributes and other category information to assist discovery.
• Retail Media: Enables retailers to include targeted sponsored product ads next to their organic search results.
• Web analytics and A/B Testing: Fires tests for the parameters of search performance, customer engagement and conversion.
• Cross Channel Personalisation: “suggests” products throughout the site, in the email channel, through SMS, the mobile channel and in-store.

How Constructor Works

1. Add your products to the listing, site and commerce applications.
2. Collect shopper data: Product views, Product searches, Product clicks, Product add to cart and Product purchases behaviour.
3. Knowing what customers want to do is all about using the Commerce Reasoning Engine which incorporates behavioural data, context and product attributes.
4. Optimized discovery: customize search, product, collections and conversational shopping recommendations.
5. Learn and improve: Reinforcement learning is the use of new interactions to continually improve product rankings and shopping experiences.

Use Cases – Constructor

🛍️ Personalized Ecommerce Shopping
The items shown in product recommendations, search result pages and category pages can be optimized according to the retailer’s individual preferences for the individual customer.

🔍 Intelligent Product Search
Online merchants can interpret complicated shopper requests, use synonyms, and interpret natural language requests, rather than requiring an exact match.

📈 Conversion Rate Optimization
Companies can boost product visibility, minimize failed searches and try various discovery experiences to raise conversions.

👝 Craftsmanship & Sustainability Retail
Fashion brands can develop product collections, recommend other products and even recommend products based on the preference of the customer.

🛒 Cross-Selling and Upselling
Retailers have the flexibility of suggesting similar products or complementary products as additional items to boost the AOV and encourage additional purchases.

📊 Ecommerce Merchandising
Merchandising will let staff make in-depth product decisions, monitor catalogue effectiveness and consider the relevance of a product to the customer over the commercial need.

🤖 AI Shopping Assistance
Conversational shopping agents can be used by businesses to respond to product inquiries and direct customers to the right products.

Pricing

Constructor’s price may be determined according to business rules.

Enterprise Plans: These are custom priced based on their catalog size, website traffic and selected features, and cater to businesses.

Search and Discovery: The pricing model based on search, recommendations and personalisation & merchandising needs.

AI Agents including Shopping agents, Product Insights Agent and the Merchant Intelligence Agent are part of the overall platform offering (contractual basis).

Enterprise Deployment: Custom integrations, implementation support and platform configurations are available.

The monthly subscription fee is not available from Constructor. To try a demo and a custom quote, companies have to make a request on the official website.

The constructor has various benefits.

Ecommerce brands get more effective and meaningful product discovery with Constructor. Its artificial intelligence logic engine gets rid of the requirement for rule-based search setting and tailored tips recommend customers to products they will be fascinated with. The platform will also give merchandising teams a view of the product rankings and how customers act, which will help them optimize their commercial performance.

What is the special thing about Constructor?

• Specifically intended for enterprise ecommerce, and NOT generic search.
• Ongoing learning via reinforcement learning for discovering products.
• Allows search, recommendations, merchandising and AI shopping agents integration.
• Explicitly explains the reasons for assigning products ranks.
• Uses customer knowledge from various discovery channels.
• Leverages business metrics, such as conversion rate, revenue and AVOs.

Examples of who can use Constructor?

The Constructor is great for enterprise ecommerce businesses, online retailers, fashion brands, consumer product companies, merchandising teams and digital commerce managers. It can be especially beneficial for companies that have a number of significant product lines and high volumes of visitors to their websites.

Final Verdict

Constructor is an advanced AI-powered ecommerce solution, providing a more comprehensive product search experience. It’s interwoven product discovery powered by its Commerce Reasoning Engine, reinforcement learning, personalized suggestions and AI shopping agents. Enterprise pricing may not work for the smaller ecommerce websites out there, but for those retailers looking for measurable improvements that result in enhanced performance in the ecommerce space, and a vastly improved experience for their customers, it’s an ideal match.