3 ways AI is transforming the product journey – and how PIM is helping
blog
July 25, 2024Artificial Intelligence is helping businesses rethink their product journeys - with the help of PIM.
AI has emerged as an important tool to help businesses create compelling omnichannel customer experiences. From intuitive chatbots to personalized product recommendations, the rapid evolutions in AI capabilities are impacting every part of the product life cycle. But AI alone can’t do it all. To truly get the most out of the many benefits of AI, an advanced PIM solution is essential.
As the single source of truth for many businesses, PIM solutions play an important role in crafting a seamless omnichannel experience, and for providing marketing teams with an easy means to create, distribute, and manage product information. When you mix PIM with AI, you get a powerful driver and enabler of omnichannel sales across different markets.
Let’s take a closer look at how AI, integrated into PIM software, is transforming digital experiences across the product journey.
> Transforming how businesses interact with customers
> Editing and enriching product data at scale
> Creating a continuous loop of data collection and enhancement
1. Transforming how businesses interact with customers
Despite the recent jump in AI capabilities, businesses have been using it as a time-saving tool for a while. Chatbots, for example, have been used by businesses to better manage customer queries and reduce call agent workloads.
But chatbots are continually being upgraded with smarter processing capabilities. Amazon’s Lex chatbot, for instance, uses advanced language learning models (LLMs) to continuously improve its conversational accuracy and authenticity, helping customers more easily find answers to product queries and information. It is also capable of processing both voice and text requests, leading to a 30% reduction in call agent volumes and a 65% increase in self-service rates.
AI is also enabling even greater shopping personalization across different channels. eCommerce specialists like Shopee use AI to monitor customer behavior and make tailored product recommendations based on the user’s browsing patterns. Others, like Sephora, combine AI and machine learning with augmented reality to analyze customer facial shapes and make tailored product recommendations.
Whether businesses are making use of predictive analytics to forecast future trends in fashion or using dynamic pricing models to generate better value from sales based on an in-depth analysis of shopping patterns, AI is driving substantial transformations in how businesses interact with customers. But it’s not just customers who are benefitting from time-saving applications of AI.
![Businessman hand using smartphone with chatbot assistance from mobile app and laptop computer background](https://www.inriver.com/wp-content/uploads/2024/07/pim-ai-chatbot-1024x537.jpg)
2. Editing and enriching product data at scale
PIM software allows businesses to manage, record, and distribute an array of complex product information. Through detailed data insights, customer analytics, and cross-channel syndication, allow marketing teams to quickly tailor and adapt sales strategies to drive growth. But AI integration is helping amplify the benefits of PIM even further.
One example of how inriver is implementing AI is in the form of batch editing capabilities that allow users to edit the product descriptions of hundreds of different products from a single screen, reducing time to market and cutting hours from the marketing team’s work. Product Information Management software, such as the dynamically adaptable inriver PIM solution, also offers translation capabilities, helping businesses scale faster into new markets.
Custom prompt editing is another time-saving feature being added to the inriver PIM solution, helping teams create product information faster. Through the adoption of LLMs, businesses can also benefit from tailored models that reflect the details of their products better than before, with this data then being exported to the likes of OpenAI, Microsoft Azure Open AI, and Google. All of which helps businesses enrich product information at scale.
3. Creating a continuous loop of data collection and enhancement
PIM already plays a critical role in distributing information about product life cycles across different teams and enabling seamless workflows. But by adding AI into the mix, you can now use it as a centralized source of product information distribution too. Processing vast datasets and enabling teams to fine-tune the tone and branding of this information, businesses can distribute information rapidly – in an array of different languages – to different marketplaces and search engines, allowing them to create tailored content instantly.
AI also plays a crucial role in evaluating and enhancing product information. The inriver screen scraping technology uses ‘high-quality ethical’ spiders to gather data from your key channels during low-traffic periods to avoid slowing websites to analyze primary, secondary, and even tertiary product information data. This data is then fed back into the system and analyzed by AI to improve product descriptions and other relevant information. This continuous loop of data collection and enhancement enables new levels of operational efficiency, transparency, traceability as well as consistent brand messaging.
inriver: Product journeys optimized by PIM + AI
From customers to regulators, businesses face growing pressures to provide accurate and up-to-date information on their products’ lifecycles. And with the dynamically adaptable inriver PIM at the heart of your tech stack, businesses will benefit from AI-powered content creation, API-based cross-channel syndication, and digital shelf analytics that help drive sales and customer confidence. Get in touch to find out more.
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