Retail ecommerce is facing major challenges today: incomplete product descriptions, slow manual processes, and a shopping experience that often fails to meet user expectations. These friction points directly impact conversion and customer loyalty.
Mindtech, a company specialized in AI-driven solutions, managed to turn this challenge into a real optimization opportunity. Through a concrete success story, the company demonstrates how artificial intelligence can automate critical processes, improve information quality, and enhance the digital shopping experience.
Boosting Retail with AI was the space where this case was presented and discussed, with insights from key industry leaders and Mindtech’s own team.
The major challenges of ecommerce retail today
Retail ecommerce continues to grow exponentially in Latin America and many parts of the world. But with growth come increasingly complex challenges. Companies that fail to adapt risk falling behind those that use emerging technologies like artificial intelligence to optimize operations.
Here are some of the main challenges digital retailers face today:
- Incomplete or inconsistent product catalogs
For most consumers, a product description is the first trust factor. Without clear details about size, color, material, or dimensions, users hesitate, abandon carts, or go to the competition.
Keeping catalogs updated and consistent is critical, but doing so manually becomes overwhelming, especially when managing thousands of SKUs. - Slow, costly manual processes
Uploading and updating attributes and descriptions is often a manual task, which is time-consuming, increases operational costs, and is prone to human error. This bottleneck limits the ability to scale and creates inefficiencies across the digital value chain. - Poorly personalized shopping experiences
Today’s consumers expect a shopping experience that is personalized, fast, and consistent across all channels. Without precise and enriched product data, recommendation engines and personalization tools lose effectiveness, reducing conversions and weakening loyalty. - Friction that hurts conversion and retention
Every point of friction, from product search to how information is displayed, becomes a barrier to completing a purchase. It also affects how the brand is perceived in terms of trust and quality. - Pressure to scale without sacrificing operational efficiency
Fast catalog growth and multi-channel expansion (marketplaces, proprietary sites, apps) require solutions that can automate repetitive tasks while ensuring real-time data accuracy and consistency.
AI as the answer
These challenges call for an innovative technological approach. AI in retail is no longer just a promise, it’s a practical tool to remove bottlenecks, automate processes, and optimize digital shopping experiences.
So, how does it actually work? Mindtech’s success story shows how a leading retail company in the region, with broad market coverage, overcame these challenges using computer vision and machine learning models, generating scalable, tangible results.
Success story: how Mindtech automated ecommerce with AI
The client
A leading retail company in the region, with broad market coverage. Their leadership is driven by a broad product offering, strong infrastructure, and a focus on profitability.
The challenge
Their process to complete product attributes was manual, slow, and hard to scale. As a result, they faced:
- Incomplete or inaccurate product descriptions
- Friction in the digital shopping experience
- High operational costs due to repetitive tasks
- Poor catalog performance across digital channels
The AI-powered solution
Mindtech implemented a machine learning architecture to automate the creation and enrichment of templates across thousands of SKUs.
Key technologies used:
- Computer vision and NLP models
- Bulk attribute enrichment with real values
- Automated split suggestions for product templates
- Python-based development, deployed on Google Cloud Platform using Docker
«It’s not just about technology, it’s about solving real business problems,»
— Sebastián Leonangeli, Solutions Architect at Mindtech
Project outcomes
Thanks to the AI solution, the retailer achieved:
- Over 10 templates created per day (vs. just 2 before)
- More than 10,000 SKUs processed per template
- 60% reduction in time-to-market
- 40% of product team time freed for strategic work
- Increased speed, agility, and scalability for product launches
«We were able to scale without compromising quality. That wasn’t possible before,»
— Lizeth Rodríguez, Machine Learning Engineer at Mindtech
Key takeaways from this success story
This project didn’t just solve a specific problem, it provided valuable lessons that any ecommerce or retail business can learn from when applying AI effectively. Here’s what stood out:
- Data quality is everything
An ecommerce platform is only as strong as the information it displays. Missing, inconsistent, or outdated data creates friction and weakens trust.
With AI, Mindtech ensured that each product had accurate, rich information extracted automatically, increasing buyer confidence and reducing purchase barriers. - Automation doesn’t replace, it empowers
There’s often a fear that automation will replace people. But this case showed the opposite: by automating repetitive tasks like writing descriptions or filling spreadsheets, the human team was freed to focus on strategy, data analysis, and growth, unlocking their full potential. - It’s possible to scale without losing quality
More products often mean more risk of inconsistencies. But with the right system, the retailer scaled their catalog massively without sacrificing data quality, even across different platforms and channels. - AI requires a complete and focused approach
Just buying a software tool won’t guarantee results. Mindtech combined strong AI models, robust infrastructure, and a skilled team to tailor the solution to the client’s real business needs. Successful AI adoption needs technical, business, and operational alignment. - Customer experience is the true differentiator
At the end of the day, everything revolves around the customer. If they find what they want quickly, with clear, helpful info, and feel understood, they’ll come back.
A fast, consistent, and personalized shopping experience is a huge competitive advantage, and that’s exactly what this AI solution delivered.
Getting ready for what’s next
This case proves that artificial intelligence isn’t just a trend, it’s a strategic lever to solve real-world challenges and build a foundation for sustainable ecommerce growth.
Mindtech has shown that with the right team, the right focus, and advanced technology, friction points can become competitive advantages.
