A real buyer question from the July 2026 snapshot, asked 3× to each of the three models. 9 answers recorded.
“I want demand forecasts and reorder recommendations from our sales data. What do you recommend?”
ChatGPT answered 3× this snapshot …Tools: Excel (basic), Python (statsmodels), or built-in forecasting in tools like Power BI If you have lots of SKUs or messy patterns: Use automated ML tools (Amazon Forecast, Azure AutoML, Google Vertex AI, or even Prophet) These handle intermittent demand and scale better across hundreds/thousands of items If demand is very lumpy (spare parts, etc.): Use Croston’s method or similar intermittent-demand models…
Named across its answers: 1. Power BI2. Netstock3. Lokad4. Prophet5. Amazon Forecast
Verbatim excerpt from one collected ChatGPT answer; formatting flattened, words untouched.
Claude answered 3× this snapshot …catalogs, simple forecasting Python (pandas, statsmodels, Prophet) - scalable, flexible Power BI / Tableau - visualization layer Dedicated tools - Inventory Planner, Lokad, Streamline Suggested Next Steps Share your data structure - what columns do you have? Start with exploratory analysis - trends, seasonality, outliers Baseline forecast - even a simple moving average beats intuition Layer in reorder logic - ROP +…
Named across its answers: 1. Inventory Planner2. Lokad3. Streamline4. Power BI5. Tableau
Verbatim excerpt from one collected Claude answer; formatting flattened, words untouched.
Gemini answered 3× this snapshot …These integrate directly with your sales data and automate the "math" for you. Inventory Planner (by Sage): Highly recommended for mid-to-large e-commerce brands. It handles seasonality, lead times, and tells you exactly what to buy and when. Stocky (Shopify only): Great for smaller Shopify stores. It’s owned by Shopify and helps with basic replenishment and PO creation. Netstock: Excellent for larger…
Named across its answers: 1. Inventory Planner2. Stocky3. Power BI4. Tableau5. Netstock
Verbatim excerpt from one collected Gemini answer; formatting flattened, words untouched.
Inventory Planner dominates this question, appearing in 7 of 9 answers and landing first 5 times with an average position of 1.3, while Power BI matches its mention count but sits far back at an average position of 3.4. The gap matters because buyers asking this exact feature question will rarely scroll past the first recommendation, giving Inventory Planner a structural visibility advantage its category rivals Cin7 and Blue Yonder entirely lack here.
AI-generated read of the July 2026 measurements.