Create tools/slotting.py

tools/slotting.py

@@ -0,0 +1,26 @@
+import pandas as pd
+import numpy as np
+
+
+def optimize_slotting(df: pd.DataFrame):
+    """
+    Assign aisle/rack based on velocity.
+    Fast → aisles 1–5
+    Medium → 6–12
+    Slow → 13–20
+    """
+
+    df = df.copy()
+
+    def assign_location(row):
+        if row["Velocity"].lower() == "fast":
+            aisle = np.random.randint(1, 6)
+        elif row["Velocity"].lower() == "medium":
+            aisle = np.random.randint(6, 12)
+        else:
+            aisle = np.random.randint(13, 20)
+        rack = np.random.randint(1, 30)
+        return aisle, rack
+
+    df["Suggested Aisle"], df["Suggested Rack"] = zip(*df.apply(assign_location, axis=1))
+    return df