Products Developed by MercanWorks

Experimental projects in e-commerce and behavioural AI, led by Mustafa Mercan.

FinTech Predictive Analytics Automation

E-Commerce Intelligence ECOMEYE

An AI CFO that captures hidden costs and shipping discrepancies in e-commerce operations. It prevents net profit losses caused by invisible expenses while sellers focus on gross revenue.

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⚡ Challenge

• E-commerce managers focused on gross revenue experience 15–20% net profit losses due to "invisible costs".
• Incorrect volumetric weight calculations, dead stock costs and commission errors disrupt cash flow.

🔧 Solution

• Automatically detects incorrect volumetric weight calculations via shipping integration.
• Calculates product-level net profitability (Unit Economics) in real time.
• Analyses stock turnover rate and provides strategies to convert dead stock into cash.

🏆 Impact

• An average monthly cost saving of 12% in pilot businesses through shipping leak detection alone.
• Business owners gained a proactive and preventive financial vision.

Visit EcomEye →

SaaS Marketplace Analytics Profitability

Marketplace Decision Centre N-XPLUS

An analysis app that reads Trendyol and Hepsiburada sales after commission, shipping, returns and advertising are deducted. It shows what remains of a product rather than revenue, the break-even return on ad spend, and the maximum price you can pay for a product. You can see what remains on 10 of your products for free. The app is in Turkish.

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⚡ Challenge

• Sellers see revenue, but not what remains of a product after commission, shipping, returns and advertising are deducted.
• Even when ROAS looks good in the panel, it is unknown whether the product leaves a profit after advertising.
• The signal of a customer who gives five stars yet writes a complaint gets lost in the rating average.

🔧 Solution

• Calculates what remains after the sale and the break-even return on ad spend for each product.
• Flags advantageous products whose remainder and return grow together; tells you the maximum price you can pay for a product.
• Reads customer reviews and summarizes complaint and expectation signals per product.

🧭 Which Decisions Does It Show?

• Which product should be grown, which one deserves the ad budget, which one should be stopped?
• What is the maximum purchase price for this product; below which selling price does it make a loss?
• Which product page fix emerges from the reviews?

Visit N-XPlus →