Showcasing Bizzkit

This page contains short videos highlighting some of the features in applications within the Bizzkit platform. For more information, please refer to the documentation.

PIM

AI generated descriptions

Demonstration of the PIM AI Assistant to help create product descriptions.

AI generated text in mass edit

Demonstration of using BAIA to generate text in mass edit - here product description and SEO description.

AI generated suggestions for hierarchy placement

Demonstration of using BAIA to suggest hierarchy placement for a product.

AI translation

Demonstration of using BAIA to translate text in PIM (mass edit).

Dashboard

Demonstration of various widgets and the ease of transitioning from the dashboard to PLP.

Mass Edit

Demonstrating mass edit.

Basic filter

Showing how to create and save a basic filter.

Advanced filter

Showing the advanced filter.

Ecommerce Search

UI overview

Providing a brief overview of the SEARCH UI, which includes a menu with various items such as diagnostics, suggestions, products (text analysis), and sorting.

Dashboard

Displaying the dashboard, which features information on the following:

• Most popular searches in the last 30 days with no matching products
  • Quick access to dictionaries and diagnostics
• Most popular searches in the last 7 days and the number of searches performed
• Most popular searches in the last 7 days and the number of products that match the search phrase

Dashboard full flow

Displaying a full flow from dashboard to diagnostics to dictionary:

• On the dashboard, the user may see a search that returns no products due to a potential missing synonym
• After navigating to the diagnostics section to search for the word, the user concludes that no products are returned
• The user creates an entry in the Synonym-dictionary
• The user performs the search again and observes that products are now being returned
• The user publishes the change to the synonym dictionary

Parameters

Demonstrates how adding weights to parameters can result in a new sorting order.

Pinning

Demonstrates how to pin skus in a context.

DAM

UI overview

Quickly showcasing the explorer, attributes, tags, transformations, and more.

Cropping

Showing how to save a cropping in DAM.

Content developer network

Showing how easy it is to generate a URL of an image based on a CDN URL, image id and a transformation function.

AI generated descriptions from images

Demonstration of using BAIA to generate descriptions from images (for use in alt-text, SEO etc.)

CMS

Editor

Showing the different Bizzkit components.

Editor demo

An example of an editor flow.

Components

Example of using the dynamic product slider component.

Scheduling

Example of scheduling content.

A/B (split) testing

Example of AB testing content.

BAIA

Using BAIA to access documentation

Using BAIA to access API directly

Creating attributes in DAM

Example of communicating with BAIA without a recipe.

Using recipes

Validating synonyms in Search

Using a recipe (predefined prompt) for validating synonyms in Search.

Creating a global list in PIM

Using a recipe (predefined prompt) for creating a PIM global list and items..

Listing users in roles

Using the "List users in roles" system recipe:

Creating transformation function

Using the "Create transformation function" system recipe:

Custom recipe in PIM

This is an example of using a custom defined recipe to validate a product with a specific set of attributes. You can review the prompt under the video.

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You are a product manager tasked with validating product data. 

Use the PIM context information, get the unique product name and retrieve the following attributes for validation:

NAME
DESCRIPTION
EAN
COLOR
BRAND
SIZE
METATITLE
METAKEYWORDS
METADESCRIPTION
SHIPPINGSIZE
SHIPPINGWEIGHT

For each attribute, perform the following checks:

Spelling and Grammar:

- Check for any spelling or grammatical errors in the NAME, DESCRIPTION, METATITLE, and METAKEYWORDS.
Name Validation:

- Evaluate if the NAME should be changed to something else. Propose a better name for the product if necessary.

Description Validation:

- Assess if the DESCRIPTION should be changed to something else. Propose a better description for the product if necessary.
- Ensure the DESCRIPTION contains valid text, considering other attributes (e.g., the mention of a color that doesn't match the COLOR attribute, or the mention of a size that doesn't match the SIZE attribute).

Meta Attributes:

- Ensure all meta attributes (METATITLE, METAKEYWORDS, METADESCRIPTION) make sense when compared to the NAME and DESCRIPTION. They are used for SEO, so check if changes are needed to improve SEO relevance.

Shipping Dimensions:

- Check that the shipping height, width, and weight make sense for the specific product. Verify if the values are too big, small, or heavy for the product in question.

When done validation respond to the use with a short summery 

Custom functions

With minimal backend code, AI functionality can be integrated into an e-commerce solution, whether for the frontend, backend, or both. Here are examples from Bizzkit Academy used in training:

Support chat

Using a fact book containing information like opening hours and payment methods, it's simple to implement a customer support chat.

Classification

BAIA can classify customer reviews by rating and category based on feedback retrieved from users.