diff --git a/kedro/framework/cli/catalog.py b/kedro/framework/cli/catalog.py
index 5fd64fdd43..c9a58af432 100644
--- a/kedro/framework/cli/catalog.py
+++ b/kedro/framework/cli/catalog.py
@@ -1,9 +1,11 @@
 """A collection of CLI commands for working with Kedro catalog."""
+import copy
 from collections import defaultdict
 
 import click
 import yaml
 from click import secho
+from parse import parse
 
 from kedro.framework.cli.utils import KedroCliError, env_option, split_string
 from kedro.framework.project import pipelines, settings
@@ -174,3 +176,64 @@ def _add_missing_datasets_to_catalog(missing_ds, catalog_path):
     catalog_path.parent.mkdir(exist_ok=True)
     with catalog_path.open(mode="w") as catalog_file:
         yaml.safe_dump(catalog_config, catalog_file, default_flow_style=False)
+
+
+def pick_best_match(matches):
+    matches = sorted(matches, key=lambda x: (specificity(x[0]), -x[0].count("{"), x[0]))
+    return matches[0]
+
+
+def specificity(pattern):
+    """This function will check length of exactly matched characters not inside brackets
+    Example -
+    specificity("{namespace}.companies") = 10
+    specificity("{namespace}.{dataset}") = 1
+    specificity("france.companies") = 16
+    """
+    pattern_variables = parse(pattern, pattern).named
+    for k in pattern_variables:
+        pattern_variables[k] = ""
+    specific_characters = pattern.format(**pattern_variables)
+    return -len(specific_characters)
+
+
+@catalog.command("resolve")
+@env_option
+@click.pass_obj
+def resolve_catalog_datasets(metadata: ProjectMetadata, env):
+    session = _create_session(metadata.package_name, env=env)
+    context = session.load_context()
+    catalog_conf = context.config_loader["catalog"]
+
+    # Create a list of all datasets used in the project pipelines.
+    pipeline_datasets = []
+    for _, pl_obj in pipelines.items():
+        pipeline_ds = pl_obj.data_sets()
+        for dataset in pipeline_ds:
+            pipeline_datasets.append(dataset)
+    pipeline_datasets = set(pipeline_datasets)
+    result_catalog = {}
+    for pipeline_dataset in pipeline_datasets:
+        matches = []
+        for ds_name in catalog_conf.keys():
+            result = parse(ds_name, pipeline_dataset)
+            if not result:
+                continue
+            # We have found a match!
+            matches.append((ds_name, result))
+        if len(matches) == 0:
+            # print(f"skipping {pipeline_dataset} -> maybe params or MemoryDataSet")
+            continue
+        best_match, result = pick_best_match(matches)
+        best_match_config = copy.deepcopy(catalog_conf[best_match])
+        # Match results to patterns in best matching catalog entry
+        for key, value in best_match_config.items():
+            string_value = str(value)
+            try:
+                formatted_string = string_value.format_map(result.named)
+            except KeyError:
+                # Dataset config has a placeholder which is not present in the ds name
+                print(f"'{key}' has invalid catalog configuration")
+            best_match_config[key] = formatted_string
+        result_catalog[pipeline_dataset] = best_match_config
+    secho(yaml.dump(result_catalog))