Faces behind Chainbalance – Una Urošev AI Data Scientist
Una Urošev blends data and fashion to turn trends into actionable insights. Meet the AI Data Scientist who thrives behind the scenes at Chainbalance.
Blog
Chainbalance Stories: The latest news at Chainbalance
Discover Chainbalance customer stories, interviews, the latest company news or deep dives into our solution.
Chainbalance and Itsperfect bring fashion brands together for a “Perfectly Balanced” evening during MODEFABRIEK
After a full and busy day at MODEFABRIEK, Chainbalance and Itsperfect invited fashion brands to unwind at a networking dinner: Perfectly Balanced.
The ultimate guide to reduce complexity in Smart Merchandise Management
Reduce complexity with Smart Merchandise Management. Discover how automation, data and Chainbalance AI simplify fashion operations.
Faces behind Chainbalance – Boryslav Linchevskyi
From childhood curiosity to full-stack expertise: meet Boryslav, whose passion for learning and teamwork shapes his journey at Chainbalance.
Faces behind Chainbalance – Tymofii Koval
Meet Tymofii Koval, Backend Developer at Chainbalance, passionate about backend systems, clean architecture and building reliable software.
3 challenges when adapting Smart Merchandise Management
(and how leading fashion brands actually solved them). Discover the three most common challenges when adapting Smart Merchandise Management and how leading fashion brands overcome them.
Ask the Expert: Senem Erdogan from O’Neill on seasonality, agility and data-driven planning
Find out what Senem Erdogan says about O’Neill’s seasonal, data-driven approach to planning and availability.
No inventory data? No problem. How Shadow Stock enables Smart Replenishment at Petrol Industries
How Petrol Industries uses Shadow Stock to enable Smart Replenishment without full inventory data, improving availability and scaling faster.
Chainbalance AI for even Smart(-er) Replenishment
Chainbalance AI for even Smart(-er) Replenishment: Deep Learning, Machine Learning & probabilistic forecasting predict demand, cut stockouts & overstock.
Chainbalance 2.14: Smarter starts, smoother moves, less friction
Chainbalance 2.14 delivers smarter initial allocation, better store transfers, faster PO forecasts, so teams start strong, operate with less friction!
Faces behind Chainbalance – Maksym Haidar Full-Stack Developer
From introverted tinkerer to full-stack dev in fashion tech, Maksym Haidar turns curiosity, problem-solving and cinema passion into smart code.
How to Smart PO Forecast: Transform your NOS merchandise management
Learn how to Smart PO Forecasting and transform your NOS merchandise management with lean, data-driven planning that keeps shelves full, stock low.
Move smarter, not harder with Smart Store Transfers by Chainbalance
Move smarter, not harder with Smart Store Transfers by Chainbalance: optimize inventory, reduce waste, boost sales & simplify logistics with AI.
Chainbalance Version 2.13 - More visibility, less guesswork
Chainbalance Version 2.13 brings smarter merchandising visibility, PO forecasts, and intelligent replenishment with more insights, less guesswork.
Launch your season confidently with Smart Initial Allocation
Launch your season with confidence using Smart Initial Allocation. Optimize first push by size, store and demand. Reduce overstock, boost performance.
Faces behind Chainbalance – Meet Alexandra Maene
From buying to Business Development, Alexandra Maene blends fashion, tech & purpose, driving sustainability and smart solutions in the apparel world.