Merchandise Recommendations: Netcore Unbxd

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Merchandise Recommendations

Curate shopping experiences with intelligent product suggestions

Enhance product discovery for shoppers by providing personalized recommendations aligned with business goals, shopper interactions, and industry trends.

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Customizable algorithms

Take absolute control of shopper experiences. Define rules and tweak algorithm parameters to combine merchandiser experience with AI logic.

Personalize using rules

Make adjustments to preset algorithm modules. Apply business expertise and industry-specific knowledge to achieve KPIs.

Apply dynamic and static filters

Create context-aware dynamic filters or rule-based static filters to build experiences based on the shopper purchase journey.

Set location-based popularity

Promote hot and trending products near shoppers’ locations using custom lookback periods.

Adaptable widgets

Choose which products shoppers see at each stage of the purchase funnel by applying a single or a combination of algorithms.

Mix and match algorithms

Promote relevant product suggestions by mapping different AI models to different recommendation slots.

Understand purchase funnel

Insert Recommendations widgets on the home page, product pages, and cart with contextually aware algorithms.

Recommend based on seasonality

Create time-bound experiences to suggest products that align with marketing initiatives, seasonal shopper demands, and business goals.

Recommend based on seasonality
Create time-bound experiences to suggest products that align with marketing initiatives, seasonal shopper demands, and business goals.
Mix and match algorithms
Promote relevant product suggestions by mapping different AI models to different recommendation slots.
Understand purchase funnel
Insert Recommendations widgets on the home page, product pages, and cart with contextually aware algorithms.
Recommend based on seasonality
Create time-bound experiences to suggest products that align with marketing initiatives, seasonal shopper demands, and business goals.
Mix and match algorithms
Promote relevant product suggestions by mapping different AI models to different recommendation slots.

Lacking shopper data? Create fallbacks

Manually handpick

Utilize unique identifiers or product IDs for informed recommendations based on business expertise.

Automatically generate

Map algorithms to designated product slots for AI-driven and context-aware recommendations.

Automatically generate
Map algorithms to designated product slots for AI-driven and context-aware recommendations.
Manually handpick
Utilize unique identifiers or product IDs for informed recommendations based on business expertise.
Automatically generate
Map algorithms to designated product slots for AI-driven and context-aware recommendations.
Manually handpick
Utilize unique identifiers or product IDs for informed recommendations based on business expertise.

Intuitive template library

Accelerate productivity and simplify complex processes with recommendation widget templates.

Ready-made

Choose from various instantly deployable templates optimized for desktop and mobile devices.

Customizable

Edit template setups and designs using an intuitive visual editor for effortless customization and styling of existing templates.

Self-made

Effortlessly integrate self-designed layouts by uploading them to the template editor for seamless deployment.

Self-made
Effortlessly integrate self-designed layouts by uploading them to the template editor for seamless deployment.
Ready-made
Choose from various instantly deployable templates optimized for desktop and mobile devices.
Customizable
Edit template setups and designs using an intuitive visual editor for effortless customization and styling of existing templates.
Self-made
Effortlessly integrate self-designed layouts by uploading them to the template editor for seamless deployment.
Ready-made
Choose from various instantly deployable templates optimized for desktop and mobile devices.

Are you deploying the best merchandising strategies for your recommendations?