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Allera
AI-powered inventory decisions for retail teams in LatAm.
Retail brands in LatAm lose margin every season — not for lack of talent, but for lack of time. Reports arrive late. The system tells you what happened, not what to do. Allera's AI scans every SKU across every channel every week, detects where margin is at risk, and delivers a prioritized action brief: what to move, what to include in the next discount window, and which prices to adjust. The team reviews and decides. No IT setup. No data science team. Built for LatAm retail.
I spent 8 years as Head of Sales at a 40-store Argentine womenswear brand. Every season closed the same way. Good team, real expertise, and still 15 to 20% of inventory unsold at the end. The markdown came too late. The margin was already gone.
Global tools exist for this problem. None of them have ever had a LatAm client. We built Allera specifically for this market, from scratch.
We're pre-revenue and moving into first pilots. We're here for honest feedback from people who build and evaluate products for a living. What's unclear, what's missing, what you'd want to see before taking us seriously.
Happy to answer anything.
About Allera on Product Hunt
“AI-powered inventory decisions for retail teams in LatAm.”
Allera was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #154 on the daily leaderboard. Retail brands in LatAm lose margin every season — not for lack of talent, but for lack of time. Reports arrive late. The system tells you what happened, not what to do. Allera's AI scans every SKU across every channel every week, detects where margin is at risk, and delivers a prioritized action brief: what to move, what to include in the next discount window, and which prices to adjust. The team reviews and decides. No IT setup. No data science team. Built for LatAm retail.
On the analytics side, Allera competes within Fashion, SaaS and Artificial Intelligence — topics that collectively have 530.6k followers on Product Hunt. The dashboard above tracks how Allera performed against the three products that launched closest to it on the same day.
Who hunted Allera?
Allera was hunted by Rodrigo Lobera. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Allera including community comment highlights and product details, visit the product overview.
Rodrigo Lobera
I spent 8 years as Head of Sales at a 40-store Argentine womenswear brand. Every season closed the same way. Good team, real expertise, and still 15 to 20% of inventory unsold at the end. The markdown came too late. The margin was already gone.
Global tools exist for this problem. None of them have ever had a LatAm client. We built Allera specifically for this market, from scratch.
We're pre-revenue and moving into first pilots. We're here for honest feedback from people who build and evaluate products for a living. What's unclear, what's missing, what you'd want to see before taking us seriously.
Happy to answer anything.