Marketing, Logistics, Customer Care, all in the same system.
Disconnected systems generate inefficient decisions.
For most brands, marketing, logistics, customer care, and marketplaces operate on different tools, with data that doesn't communicate with each other in real time.
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Marketing disconnected from inventory
The campaigns push products that perform well in advertising, but lack visibility into actual availability, critical sizes, returns, or operating costs.
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Logistics disconnected from sales
The warehouse reacts to orders, but has no advance visibility into incoming sales pushes nor does it provide data to the system on sales priorities.
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Customer care disconnected from decisions
Customer feedback reveals recurring problems, but it doesn’t factor into the decision-making cycle about what to sell and where.
Each function works in watertight compartments and the system does not generate maximum profit.
Connect data and decisions in real time.
Higher-performing campaigns
Campaigns only push products that are available, profitable, and sustainable to sell at that time.
Stock always mobilized
Products with real demand are accelerated. Stagnant products are repositioned on different channels, markets, or price points. Less inventory.
Dynamic and consistent pricing
Pricing adapts based on availability, performance and competitive environment, without channel conflicts.
Marketplaces managed as a system
Marketplaces are not separate worlds, but parts of a single sales strategy.
A system that decides what to sell, where and when.
AI doesn't optimize individual channels. It coordinates marketing and marketplaces based on real data on inventory, sales, and customer behavior. This way, Google Ads, Meta, and marketplaces become execution tools, not decision-making tools.
AI analyzes
- actual stock availability
- sales speed per product
- performance by channel and country
- post-sale signals (returns, complaints, assistance)
Human decision making with AI support
- which products to push
- on which channels
- in which markets
- when to slow down or stop pushing
Always sell at maximum profit thanks to our Profit Engine.
Our Profit Engine evaluates every sales decision based on actual profitability, not just volume.
What does Profit Engine evaluate?
- real margin per product
- sales channel
- village
- logistics costs
- return rate and after-sales service
Scenario 1: Limit returns
If a product has a high return rate in a country, we stop pushing it on local advertising and marketplaces, even if stock is available.
Scenario 2: Maximum price
If a product has limited stock but high demand, we reshape the advertising push to prioritize the highest-margin channels and markets, avoiding waste and overselling.
Scenario 3: Minimize discounts
If a product has good margins but slow turnover, we recalibrate visibility and price on the most suitable channels, instead of forcing discounts that would compromise margins.
Our goal is to sell as much as possible at the highest possible margin.