Actionable recommendations generated from forecasting, customer segmentation and anomaly-detection insights.
Inventory actions
1
Transaction review actions
2
Retention actions
2
Marketing actions
4
Review replenishment levels for the next forecast period and prioritise products with sustained recent demand.
Why: The active-data forecast for January 2011 is £722,125.90, compared with recent monthly revenue of £376,266.82.
Prioritise current transactions flagged by the saved Isolation Forest model for operational review.
Why: The active dataset contains 43,631 model anomalies (8.41% of valid rows).
Review transactions detected by both the IQR baseline and Isolation Forest before single-method cases.
Why: 43,076 active transactions were identified by both methods.
Target at-risk regular customers with personalised reminders, return offers and loyalty incentives.
Why: The current RFM model identifies 1,211 at-risk regular customers.
Use loyalty rewards, early access and priority communications for the current high-value segment.
Why: The active dataset contains 778 high-value loyal customers.
Use loyalty and cross-selling campaigns rather than broad discounting.
Why: This segment currently contains 778 customers (18.04%).
Use time-limited incentives to reactivate previous purchasing behaviour.
Why: This segment currently contains 1,211 customers (28.08%).
Promote complementary products and introductory follow-up offers.
Why: This segment currently contains 945 customers (21.92%).
Use low-cost reactivation before committing higher marketing spend.
Why: This segment currently contains 1,378 customers (31.96%).
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