Title: Generative AI For Streamlining eCommerce Content Creation - Automating Product Descriptions
1Generative AI For Streamlining eCommerce Content
Creation - Automating Product Descriptions
According to research, 87 of eCommerce shoppers
rate product descriptions as very important in
their purchase decisions. However, Baymard
Institute outlines that 10 of eCommerce sites
have insufficient product descriptions, which do
not meet their consumers needs. Low-quality
product descriptions can cause consumers to
abandon products and even impact repeat
purchases. eCommerce platforms like Shopify
are turning to AI tools to generate product
descriptions. For example, in February 2023,
Shopify launched its AI tool, Shopify Magic, to
help merchants with automatic text generation.
But can AI make a difference? How viable are
generative AI technologies for automating product
descriptions?
2- Why Are High-Quality Product Descriptions Crucial
In The eCommerce Sector? - eCommerce firms can no longer depend solely on
competitive pricing and brand reputation to
convert or retain their shoppers. User experience
is a major influencer in determining business
success. High-quality product descriptions
are integral to improving user experience and
provide a range of business benefits - Boosting brand visibility on digital channels
- Improving conversion rates and sales revenues
- Improving the retailers online presence and SEO
ranking - Enabling online shoppers to comprehend and even
visualize the product and connect with the
brand - Effectively, product content can influence the
customers journey across the purchase lifecycle
from product awareness to consideration to
final decision-making. To this end, generative
AI solutions can help streamline product
content creation for eCommerce sites. - Why Should eCommerce Companies Automate Product
Descriptions? - 20 of failed product purchases occur due to
incomplete, misleading, or missing product
information. As discussed, online shoppers
require complete product information before
making an online purchase. Besides generating
better product descriptions, AI-based automation
tools can save a lot of time and money for
eCommerce brands. - Online retailers no longer have to invest a
significant amount of time and money in creating
high-quality descriptions for every single
product. Also, these tools can easily categorize
products with precision, thus eliminating any
inaccuracies in the products category and
metadata.
3- Here are some of the added benefits of automating
product descriptions using generative AI - Build A Resonant Brand Identity
- High-quality product descriptions have a tone of
voice that resonates with the brand identity.
This enables the eCommerce brand to connect with
its target audience and establish a relationship
of trust and loyalty. - Generative AI solutions can be trained on vast
volumes of product data. This enables them to
automatically transform product specifications
into natural product descriptions that
resonate with the brand identity and are in line
with the brands content style guide. - Improve SEO
- Search Engine Optimization (SEO) is critical for
business success in the eCommerce sector.
Generative AI tools can be trained to use the
right keywords and highlight the right features
in the generated product description. - Further, generative AI helps with the following
- Automating the manual process of generating
synonyms for product catalogs, thus saving time
and solving scalability-related challenges - Enriching product catalogs and descriptions by
analyzing product information, including
features, customer reviews, and current market
trends - Personalizing product recommendations based on
customer interactions, online chats, and user
queries - How To Automate The Generation Of Product
Descriptions
4- Understand The Customers Needs
- Foremost, eCommerce brands must understand the
needs and wants of their customers. This
includes understanding - Customers pain points or current challenges
- Customers needs based on their online reviews
and sentiments - The product benefits that the customer is looking
for - Focus On The Product Benefits
- As a simple rule, product descriptions must focus
on the benefits that they provide instead of the
list of features. The AI tool must translate a
product feature (for example, shoe soles with
extra padding) into a benefit (in this case,
protecting the knees). - Deliver A Natural Language Experience
- To connect with the target audience, product
descriptions must sound human-like and not
machine-like. Generative AI tools must deliver
descriptions in natural language that sounds
fresh as if written by a human. - Use Plenty Of Tags
- Tags in product content enable search engines to
categorize the product and simplify online
searches. Product-related tags (including
relevant category keywords) enable online
shoppers to find the right product in the
eCommerce store.
5Of course, bulleted points can improve
readability, so a mix of both paragraphs and
bullets is a good practice to adhere to. However,
despite their multiple benefits, eCommerce brands
cannot solely rely on generative AI tools for
creating product descriptions. AI-generated
product descriptions might struggle to maintain
accuracy and relevance. Without any human
oversight, AI algorithms can deviate from the
expected outcomes. This is where an eCommerce
solution provider like EnFuse can make a
difference. How Can EnFuse Help You With
Engaging Product Descriptions? With our range of
eCommerce services, we enable online retailers to
unleash the power of product descriptions. We
understand the business value of how good product
content can transform customer relationships and
engagement. Our SEO-friendly product descriptions
enable our customers to improve conversion rates
and sales revenue. Additionally, EnFuse provides
data tagging and annotation services to organize
your product data for use in AI and ML models. We
have a growing team of data annotators and
taggers to cater to your scaling business
requirements. Lets together streamline your
eCommerce content creation process. Contact us to
learn more. Read More Ethical Considerations In
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