Feature-led ask · Prompt 6 of 8 · September 2026

A real buyer question from the September 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

I recommend a practical system with 3 layers: 1) Forecast demand at the right grain Start simple, then improve. Good starting point Forecast by: SKU location/warehouse week Weekly is usually more stable than daily and more useful for replenishment. Models to use Use a tiered approach: Fast movers: exponential smoothing / Prophet / ARIMA Seasonal items: seasonal models with holidays/promotions Intermittent demand:…

Verbatim excerpt from one collected ChatGPT answer; formatting flattened, words untouched.

Inventory Planner wins this question cleanly, earning 4 first-position mentions against NetSuite's zero, despite both brands appearing in 4 of 9 answers. NetSuite's visibility is entirely Claude-driven, meaning it disappears if a buyer happens to use a different model.

AI-generated read of the September 2026 measurements.

Who wins this question

Open

ChatGPT

Claude

Gemini mentioned · first · avg. pos

Inventory Planner 1111 4/9 · 4× first · #1

NetSuite 5234 4/9 · never first · #3.5

Stocky 222 3/9 · never first · #2

Forecastly 333 3/9 · never first · #3

SAP IBP 345 3/9 · never first · #4

Power BI 14 2/9 · 1× first · #2.5

Tableau 25 2/9 · never first · #3.5

Prophet 1 1/9 · 1× first · #1

Lokad 2 1/9 · never first · #2

SAP 3 1/9 · never first · #3

Oracle Demand Management 4 1/9 · never first · #4

Slimstock 4 1/9 · never first · #4

Each square is one collected answer; the number is the brand's position in that answer. Lime = the very first recommendation. Unlinked brands were named by the models here but sit outside this category's published top 15 overall. Showing the top 12 of 19 brands named at least once. Never mentioned here: Cin7, Linnworks, Extensiv, Kinaxis, Netstock, Brightpearl, Cogsy, Skubana.