Products Developed by MercanWorks

E-commerce products, task tracking and team management apps, and experimental projects in behavioural AI, led by Mustafa Mercan.

EcomEye: E-Commerce Business Intelligence Platform
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.

⚡ 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 →
N-XPlus: Marketplace Profit Analysis App
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.

⚡ 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 →
N-XLoop: Task Tracking and Team Management
SaaS Team Management Automation

Task Tracking and Team Management for SMEs N-XLOOP

A work management app that brings tasks, conversations, files, owners and dates together. See who is doing what, where work is waiting and when it is due. Start with ready-made templates for your industry and configure workflows and automation rules without writing code. The app is in Turkish.

⚡ Challenge

  • When tasks, conversations and files live in different apps, the current state of work gets lost.
  • Managers have to keep asking the team for updates and sending reminders.
  • Waiting tasks and delays surface too late, while responsibilities and decisions become unclear.

🔧 Solution

  • Keeps tasks, subtasks, comments, files and activity history in one record, with List, Board, Calendar and Today views.
  • Calculates waiting times using working days and holidays; rules flag delayed tasks and notify the people involved.
  • Provides ready-made task types, stages and tracking rules for e-commerce, legal practices, import-export, agencies and manufacturing.
  • Shows monthly employee performance based on task data, without tracking screens, location or keystrokes.

🧭 Which Questions Does It Answer?

  • Who owns each task, which stage is it at and how long has it been waiting?
  • What needs to be done today, and which delay needs attention?
  • Who completed which tasks, and where does work get stuck most often?
Visit N-XLoop →