Resources
Insights, guides, and success stories from the world of retail AI
Explore how leading retailers optimize inventory, reduce waste, and grow revenue with MySales Labs.
95% OSA for convenience store - MySales implementation at Blyzenko
Blyzenko's convenience store transformation: 95% availability, 40% fresh waste reduction, and 70% planning time savings across 45+ urban locations through intelligent forecasting.
97% OSA - Chudo Market story
Chudo Market's complete transformation: 97% OSA, 80%+ forecast accuracy, and 15-20% sales increase through automated forecasting and replenishment across 30 grocery locations.
Chervonyi Market. Ukrainian non-food discounter automating stock replenishment, forecasting and pricing
Chervonyi Market's comprehensive transformation: complete automation across forecasting, replenishment, and pricing for 170+ non-food discount stores with 80-90% promotional sales mix.
Drogas. Forecasting and replenishment done by 4 people
Drogas, the leading health and beauty chain in the Baltics, automates forecasting and replenishment across 150 stores in Latvia and Lithuania with just 4 people managing the entire process.
MySales Labs implementation at Eko Market
Eko Market, a leading Ukrainian grocery chain, implements MySales for automated forecasting and ordering across all stores, starting with the most challenging category: fresh products.
MySales Labs in GoodWine. Customer success story.
GoodWine's premium wine retail transformation: 75% safety stock reduction, 7,000 SKUs managed by one person, and fully automated ordering across specialty wine stores.
Promo planning - from Excel to automation
Sviy Market's CIO shares how the convenience chain moved from Excel-based promo planning to full automation with MySales, achieving 99% automated ordering even during wartime.
Cannibalization in Retail Demand Forecasting
A practical guide to understanding the cannibalization effect in retail assortments and how to account for it accurately in demand forecasting.
How MySales Calculates Lost Demand
Learn how MySales measures lost demand by comparing forecasted demand against actual sales on out-of-stock days, and how this drives more accurate replenishment decisions.
How MySales Generates a Forecast
A detailed walkthrough of the MySales demand forecasting engine — covering its hierarchical approach, data preparation stages, influencing factor analysis, and special algorithms for new items and distribution expansion.
Safety Stock Calculation in MySales: Steps and Key Takeaways
A step-by-step explanation of how MySales automatically calculates safety stock based on forecast error statistics, including a worked numerical example.
Shelf-Life Accounting and Write-Offs: Automation and Accuracy in Product Orders
Learn how MySales automates shelf-life constraints and write-off forecasting to prevent over-ordering perishable goods while compensating for expected spoilage.
What Factors Influence the Sales of Specific Products in Retail?
A practical overview of the key factors — from seasonality and pricing to weather and cannibalization — that drive product sales in retail, and how to account for them in forecasting.
Why Pick-to-Zero Is More Efficient Than Cross-Dock
A practical comparison of Pick-to-Zero and Cross-Dock replenishment strategies, showing when each approach excels and how combining them maximizes inventory efficiency.
Auto Replenishment System Checklist
Essential checklist for evaluating automated replenishment systems: 25 key questions to ask vendors covering pick-to-zero, shelf-life management, safety stock, and more.
Automatic Forecast System Checklist
Key questions to ask when evaluating automatic forecasting systems for retail: covering new product forecasting, promotional modeling, and forecast accuracy measurement.
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