asdasd

components/analytics/PredictionsChart.tsx

@@ -162,9 +162,14 @@ export default function PredictionsChart({
             <CardTitle className="flex items-center gap-2">
               <BarChart3 className="h-5 w-5" />
               Predictions & Forecasting
+              {predictions.sales.aiModel?.used && (
+                <Sparkles className="h-4 w-4 text-purple-500" />
+              )}
             </CardTitle>
             <CardDescription>
-              AI-powered predictions for sales, demand, and inventory
+              {predictions.sales.aiModel?.used
+                ? "AI neural network + statistical models for sales, demand, and inventory"
+                : "AI-powered predictions for sales, demand, and inventory"}
             </CardDescription>
           </div>
           <div className="flex items-center gap-2">
@@ -242,6 +247,16 @@ export default function PredictionsChart({
                             </span>
                           )}
                         </Badge>
+                        {predictions.sales.aiModel?.used && (
+                          <Badge variant="outline" className="bg-purple-500/10 text-purple-700 dark:text-purple-400 border-purple-500/30">
+                            🤖 AI Powered
+                            {predictions.sales.aiModel.modelAccuracy !== undefined && (
+                              <span className="ml-1 opacity-75">
+                                ({Math.round(predictions.sales.aiModel.modelAccuracy * 100)}%)
+                              </span>
+                            )}
+                          </Badge>
+                        )}
                         {predictions.sales.trend && (
                           <Badge
                             variant="outline"

lib/services/analytics-service.ts

@@ -311,12 +311,18 @@ export interface SalesPrediction {
   confidence: "very_high" | "high" | "medium" | "low";
   method: string;
   methods?: {
+    aiNeuralNetwork?: number | null;
     weightedMovingAverage?: number | null;
     exponentialSmoothing?: number | null;
     holtWinters?: number | null;
     weightedLinearRegression?: number | null;
     trendAdjusted?: number | null;
   };
+  aiModel?: {
+    used: boolean;
+    confidence?: string;
+    modelAccuracy?: number;
+  };
   trend?: {
     direction: "up" | "down" | "neutral";
     strength: number;