
Intelligent Shelf Recommendation
NADROÂ
📍 México – Retail & Pharmaceutical Sector

Context
NADRO, a leading pharmacy and retail chain, faced challenges in maintaining efficient organization and product availability on store shelves. The lack of an automated process resulted in irregular product placement, inventory replenishment errors that led to stockouts or overstocking, and limited visibility of strategic products. This directly affected customer experience and sales performance.

The Challenge
The company sought to transform its shelf audit processes with three key objectives:
- Reduce audit time by 50%.
- Achieve at least 80% accuracy in automatic product identification.
- Determine what percentage of shelf products were registered in internal databases.
iData’s solution
iData assembled an expert team to evolve the bot and turn it into an intelligent virtual assistant. Thanks to an agile approach, the new Amy 2.0
- Detect and classify products in real time.
- Validate its existence in the NADRO inventory for each pharmacy.
- Generate intelligent recommendations to optimize product placement and maximize sales strategy.
- Reduction of more than 50% in shelf audit time.
- Accuracy exceeding 80% in automatic product identification.
- Greater operational control and alignment between inventory, sales, and point-of-sale display.
Technologies Applied
- Computer Vision con Azure AI
- GPT-4
- Azure Functions
- Azure Web App
- Azure Storage Account
Satisfied clients across multiple industries
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Frequently asked questions about Data & AI
What benefits does my company gain by implementing data and AI-based solutions?
By implementing data and artificial intelligence solutions, your company can make faster and more accurate decisions, automate processes, improve operational efficiency, reduce costs, and gain real-time visibility into business performance.
How can I tell if my company is ready for a data strategy?
Your company is ready if it handles large volumes of information, needs to improve decision-making, faces process inefficiencies, or requires greater operational visibility. During an initial consultation, we assess your data maturity level and define a tailored roadmap.
Do you work with companies across different industries?
Yes. iData supports organizations in sectors such as retail, logistics, technology, manufacturing, education, healthcare, and more. We adapt every solution to the specific context, challenges, and needs of each industry.
What sets iData apart from other data consulting firms?
We stand out by combining strategy, cutting-edge technology, automation, proven methodologies, and partnerships with global leaders such as Microsoft and Databricks. Our approach is comprehensive and results-driven.
How long does it take to implement a data or AI solution?
Timelines depend on the type of project, its complexity, and the company’s existing systems. However, most initial implementations can be delivered within 6 to 12 weeks, with visible progress from the early stages.
What type of support do you offer after implementation?
We provide ongoing support, monitoring, optimization, and strategic guidance to ensure the solution evolves alongside your business. Our expert team ensures the platform remains stable, secure, and aligned with your objectives.
