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Chainbalance Chat & Dine ILM Edition: Where industry exchange continues beyond the fair
The fashion and leather goods industry came together at ILM Offenbach, to ring in the fair and start conversations at our Chainbalance Chat & Dine: ILM Edition.
Blog
Chainbalance Stories: The latest news at Chainbalance
Discover Chainbalance customer stories, interviews, the latest company news or deep dives into our solution.
Faces behind Chainbalance – Marie Dömel
Meet Marie Dömel, Customer Success Manager at Chainbalance, where fashion passion meets tech impact, sustainability and Smart Merchandise Management.
In-Season. In Control. How the Betty Barclay Group wins in the season with Chainbalance Smart Merchandise Management.
What does it cost when in-season decisions come too late? Mauricio & Andreas answer honestly. Watch the full webinar recording now.
How In-Season Management becomes a competitive advantage
In-Season Management is more than replenishment, it's a strategic lever for margin, sell-through and competitiveness.
Chainbalance Chat & Dine Düsseldorf: Where the first order day begins with the right people
Chainbalance Chat & Dine Düsseldorf: 50+ fashion brands connected at Rocaille to kick off order season with real conversations.
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.
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.
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.