ATLASAI-powered demand forecasting and replenishment agentThe Right Product, the Right Quantity, the Right Store, the Right Time
Inaccurate demand forecasting can lead to stockouts, lost sales, and costly excess inventory. ATLAS leverages sales history, seasonality, promotions, and external demand signals to dynamically calculate the optimal order quantity for each product and store, enabling more accurate replenishment decisions and efficient inventory management.
The proven impact of Obase's retail inventory optimization solution:
Why Is Inventory Management So Hard in Multi-Channel Retail?
Multi-channel sales and limited shelf space leave classic inventory management methods falling short.
Out-of-Stocks
When demand is forecast incorrectly, shelves go empty — costing both sales and customer satisfaction.
Excess Stock Cost
Wrong order quantities inflate warehousing and capital costs, straining cash flow.
Destruction Rates
Excess stock in fast-moving goods leads to waste and pulls sustainability targets further out of reach.
Manual Processes
Spreadsheet-driven ordering is slow, error-prone, and can't scale with a growing operation.
From Demand Forecast to Automatic Order, End to End
Demand Forecasting
Sales history, seasonality, promotions, and external signals like weather are analyzed with 10+ time-series and machine-learning models — the best-performing one is automatically selected.
Inventory Optimization
Safety stock, case-pack size, shelf-facing requirements, and supplier performance are factored in to determine the ideal order quantity for every store and SKU.
Automatic Ordering
Recommendations flow directly into the ERP and inventory system — processed automatically, with or without approval, based on your business rules.
Performance Tracking & Recommendation
AI-powered performance analytics continuously monitors key KPIs, identifying anomalies, root causes, and actionable recommendations to drive performance improvement.
Ask What's Behind ATLAS's Reasoning
Every forecast and order recommendation isn't a black box — ask in natural language and get the reasoning behind it.
"Why did this product's forecast change?"
Explains which input — price, promotion, weather, or a special occasion — drove the change.
"Why did you recommend this order quantity?"
Shows how expected demand, safety stock, and delivery risk were added together to reach the number.
"Which orders were flagged for approval?"
Lists the exceptions routed to human approval, and why.
"Is there anything that needs urgent action?"
Sends an automatic alert to the right manager for critical exceptions.
Used by Turkey's Leading Retailers
Brands like ŞOK Marketler, Migros, Boyner Grubu, Colin's/Mexx, and L'Oréal make their inventory decisions with Obase's Replenishment solution.
EuroCIS "Best Enterprise Application" Award · Microsoft "AI Partner of the Year" · EuroCIS RETA 2023 · EHI Retail Institute Award 2023
Test ATLAS With Your Own Inventory Data
ATLAS's pre-built retail inventory model gets you live in weeks, not months of setup.
Schedule a Discovery Call