Command CenterAI Insights

AI Insights

Every forecast movement, explained with its drivers, confidence and data quality.

Forecast confidence

87%

3%ensemble agreement high

Data quality

92%

2%218 rows missing region

Historical accuracy

91.4%

2.4%

Forecast range

2,120 – 2,690

units, next 30 days

Why the forecast changed

Demand forecast increased by 18%. New contract +7%, higher RFQ activity +5%, seasonal demand +4%, returning customers +3%, price increase −1%. The ensemble kept confidence at 87% because the increase is supported by signed and quoted volume, not only historical trend.

Explanation generated from model feature attributions

Driver importance

Open quotations

+24%

Repeat customers

+19%

New contract signed

+18%

Seasonality

+11%

RFQ activity

+6%

Price increase

-5%

Customer churn

-8%

Seasonality index

Detected annual pattern

Highest churn probability

Largest upsell / cross-sell potential

Demand trend

Insight feed

Customer

ABC Industries churn probability is 68% with $1.2M revenue at risk — purchase frequency dropped from 3.1 to 1.4 orders per month.

Pricing

Quotations priced 14% above similar winning deals convert 31% less often in the Government segment.

Cross-sell

Customers buying Industrial Sensor X120 buy Maintenance Package B within 90 days in 74% of cases — potential 320K.

New customer

Two new Healthcare accounts have no history; benchmark forecast built from a cluster of 9 similar customers.

Upload historical demand

Past demand volumes used to train the baseline model.

Drop a CSV here or

Expected columns: date, sku_or_service, quantity, region

Ask ForeSight AI

Answers are grounded in the platform's seeded workspace data plus any CSV you uploaded.

Seeded data in context