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Utilizing AI in eCommerce to boost product search and recommendations

why Applying Artificial Intelligence in eCommerce can boost product search and recommendation?
Implementing artificial intelligence in eCommerce product search and recommendation has become the most serious approach to accelerate brand growth. As a result, several eCommerce websites are increasingly attempting to comprehend client behavior by tracking the search queries, past purchases, products added in the shopping cart, location, dwell time, and various factors.
As a result, we can enhance the portals by creating customer-centric searches, identifying potential targets, retargeting potential customers by providing customized offers, and developing a more efficient sales process using this relevant data.
What do you think you’ll take away from this episode?
In this last episode of the logistics insight video series, we help you understand how artificial intelligence is applied in eCommerce to effectively boost Product Search and recommendations.
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Podcast Transcript:
When customers search for a product, they expect the results to be as near as feasible to their intent or desire.
As a result, ECommerce systems increase the number of search choices by including many synonyms and adjectives that customers frequently use.
Many systems can learn about a company’s specific product line over time, discover products that comparable audiences have viewed, and generate suggestions relevant to the search’s underlying intent.

Tools further expand consumers’ search possibilities like visual search (where a shopper may take a photo of something that interests them and have an AI search engine seek matches).

This episode explores three ways how artificial intelligence is utilised in eCommerce to accelerate product search and suggestions.

Numer 1. Personalization of the Customer Experience

Creating a customer base that feels like their interactions with your business are targeted to them specifically can help you generate leads, convert more first purchases, and build long-term relationships and loyalty.

Artificial intelligence-led tools can be trained to predict how people react when they receive a specific offer, see a particular product, or have a specific experience with your brand based on past transactions, current activities, and behavior by analyzing past transactions, everyday activities, and behavior.

Number 2. Providing Virtual and Conversational Assistants

The eCommerce industry is also taking advantage of these innovations to uplift consumer interactions while also mitigating the workload of their human employees.

Consumers may get rapid and precise answers to their inquiries and searches thanks to virtual assistants and chatbots.

Many businesses utilise online chatbots to offer customer care and technical help, with some systems even forecasting what queries or demands their consumers may have next.

The last is Optimising Customer Fulfillment Options

AI-powered eCommerce technologies can assist businesses, and their customers choose the best shipping and fulfilment alternatives for each transaction, automatically comparing different possibilities to find the most cost-effective and time-efficient methods of delivering goods to customers.

In addition to tracking deliveries in real-time, sending updates and status reports, and keeping track of which customers prefer what type of notification and messaging frequency, fulfilment technologies can also maintain track of consumer preferences.

So, my dear friends, using all of the aforementioned approaches, you can use AI in eCommerce to improve Product Search and Recommendations, and this is the last straw of the logistics insight video series.

Stay tuned for another edition of the video series. This is Alphonse, product manager of VisAI Labs bye.

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