From manual data entry to fully automated listings: How an AI agent accelerated time-to-market and empowered specialists at Alltoys.
Alltoys is a prominent toy and baby goods wholesaler and retailer, operating on the Czech market since 1992. As a key member of the Wormelen group, it shares a portfolio with established brands such as Bambule, 4kids, and Maxíkovy hračky.
The Alltoys Group approached MageXo with a challenge that went beyond simple operational inefficiency. .
- In the fast-paced world of toy retail, where product lines change rapidly, tedious manual product listing resulted in direct loss of sales opportunities and a competitive disadvantage.
- Our goal was not just to streamline the process, but to radically accelerate time-to-market and free up specialists for strategic category development instead of routine tasks.
Every hour a product specialist spent manually copying data, checking fields, and filling in information was an hour lost – time that could have been spent on market analysis, supplier negotiations, or campaign planning.
The core business challenges were:
-
Loss of Competitive Advantage: Delays in publishing new arrivals on the e-shop meant competitors were reaching the market faster.
-
Inefficient Human Resource Allocation: Employees were overwhelmed by low-value tasks, hindering their potential and stalling innovation.
-
Risk of Human Error: Manual processes led to data inconsistencies, impacting both customer experience and internal reporting.
-
Limited Scalability: With a growing portfolio, the problem would only escalate, forcing the company to hire more staff just for manual labor.
Facing similar efficiency challenges? Book your consultation here.
The goal was to develop an AI Agent capable of processing supplier data sheets with minimal manual intervention, creating a foundation for future scaling.
Our Project Roadmap:
-
Process Analysis & Rule Definition: Together with the client, we defined the ideal data output and identified the specific steps required for automation.
-
Prototyping (MVP): We deployed the first AI agent to categorize products by populating the “Type” column based on semantic similarity (embeddings).
-
Feedback-Driven Iteration: Using real-world data testing, we gradually implemented additional logic—data cleansing, brand verification, age validation, and tax compliance.
-
Copywriter Agent: We developed a specialized AI module focused on generating high-converting marketing descriptions based on specific parameters (brand, age, material).
-
Monitoring & Audit: We implemented a robust logging system where every AI-driven decision is recorded and fully traceable.
The deployment of the AI agent delivered immediate and substantial improvements:
-
Radical process acceleration: Processing time for 100 products was slashed to 3 hours (approx. 1.8 minutes per product).
-
Unlocking specialist capacity: The product team can now focus entirely on high-value activities, such as strategy and assortment development.
-
Increased accuracy and consistency: Automation eliminated human error in critical data fields, including categories, brands, and age ratings.
-
High-quality, personalized content: The copywriting AI module generates marketing descriptions with a distinct tone of voice tailored to each brand (e.g., differentiating the style for 4Kids vs. Maxík).
-
Full transparency and control: All agent operations are logged, and every decision is traceable, ensuring complete confidence in the system.
Our collaboration with Alltoys continues to evolve. The developed solution is not just an operational fix, but a scalable foundation for the future of the business. The modular architecture allows for the future integration of additional AI agents, such as dynamic pricing, automated product image optimization, or sales forecasting.
Let’s discuss how process transformation can drive your business forward.
