Update concept-shelf-analysis.md

Author: ginalee-dotcom

articles/ai-services/computer-vision/concept-shelf-analysis.md

@@ -30,13 +30,13 @@ Try out the capabilities of Product Recognition quickly and easily in your brows
 
 ## Product Recognition features
 
-### Image modification
+### Shelf Image Composition
 
 The [stitching and rectification APIs](./how-to/shelf-modify-images.md) let you modify images to improve the accuracy of the Product Understanding results. You can use these APIs to:
 * Stitch together multiple images of a shelf to create a single image.
 * Rectify an image to remove perspective distortion.
 
-### Product Understanding (pretrained)
+### Shelf Product Recognition (pretrained model)
 
 The [Product Understanding API](./how-to/shelf-analyze.md) lets you analyze a shelf image using the out-of-box pretrained model. This operation detects products and gaps in the shelf image and returns the bounding box coordinates of each product and gap, along with a confidence score for each.
 
@@ -85,7 +85,7 @@ The following JSON response illustrates what the Product Understanding API retur
 }
 ```
 
-### Product Understanding (custom)
+### Shelf Product Recognition - Custom (customized model)
 
 The Product Understanding API can also be used with a [custom trained model](./how-to/shelf-model-customization.md) to detect your specific products. This operation returns the bounding box coordinates of each product and gap, along with the label of each product.
 
@@ -134,7 +134,7 @@ The following JSON response illustrates what the Product Understanding API retur
 }
 ```
 
-### Planogram matching
+### Shelf Planogram Compliance (preview)
 
 The [Planogram matching API](./how-to/shelf-planogram.md) lets you compare the results of the Product Understanding API to a planogram document. This operation matches each detected product and gap to its corresponding position in the planogram document.