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long story short
Product reviews are the key factor driving online sales up by 10-20%. They build trust and tell much about the product - over 50% of customers rely on feedback rather than product descriptions when deciding to buy. Yet, unlike large e-commerce platforms with high sales volumes generating dozens of reviews of any kind, most SMBs struggle to accumulate them, with only 5-10% of their products receiving customer feedback.
To solve this problem, we created ProdEye - a B2B platform for sharing product reviews across the web stores of our clients. Once a review for a particular product was added to one of the clients' websites and passed moderation, it was shown across all the websites that had identical products.
From a technical standpoint, ProdEye uses advanced algorithms to accurately identify products and match them with relevant feedback. We enabled fast pre-moderation of reviews to match feedback and swiftly filter out irrelevant ones or remove bots. Additionally, we developed solutions to integrate widgets into diverse website architectures and customize them to fit each customer's unique design. To boost conversions, we enhanced the feedback system and implemented personalized product suggestions.
We swiftly launched the MVP, securing our first client in just 2 weeks. To start off, we chose car tires for the MVP as they had standardized product codes, identical across all stores and were one of the top car parts sold online. Within the first 2 months, we expanded to 10 new clients, achieving a significant conversation rate growth of 15-20%.
The bottom line: stores in our network witnessed a remarkable sales increase of 15-25% and the MVP proved to be successful.
key outcomes
2 weeks
to launch MVP
1 month
to generate revenue
15-25%
increase in clients’ conversion rates
client testimonial
team setup
1
Product Manager
1
UI/UX Designer
1
Front-End Engineer
1
Back-End Engineer
meet the team
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what we did
- MVP development with a focus on rapid prototyping to quickly validate key hypothesis
- Product management and development
- A/B testing to optimize conversion rates and enhance the overall user experience.
- Developing machine learning algorithms to recognize products online, compare them, and determine whether the feedback pertains to specific products.
- Complex integration system development to ensure seamless customization of widgets, aligning them with the unique look and feel of each website.
- Cross-selling algorithm Implementation to display widgets of products previously searched for by customers, enhancing the cross-selling strategy.
tools and technologies
Node.JS, MongoDB, ElasticSearch
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