diff --git a/app/search/api/views.py b/app/search/api/views.py
index e450be0..734a775 100644
--- a/app/search/api/views.py
+++ b/app/search/api/views.py
@@ -14,6 +14,7 @@ from search.api.serializers import (
     AutoCompleteResponseSerializer,
 )
 from search.models import Product
+from search.services.colors import group
 from search.services.search import process_search
 from search.services.autocomplete_schema import autocomplete_schema
 
@@ -32,10 +33,13 @@ class SearchApi(APIView):
         serializer = SearchSerializer(data=request.data)
         serializer.is_valid(raise_exception=True)
         return Response(
-            process_search(
+            group(
+                process_search(
+                    serializer.data["body"],
+                    serializer.data["limit"],
+                    serializer.data["offset"],
+                ),
                 serializer.data["body"],
-                serializer.data["limit"],
-                serializer.data["offset"],
             ),
             status=status.HTTP_200_OK,
         )
diff --git a/app/search/models.py b/app/search/models.py
index 44375cc..b7107e6 100644
--- a/app/search/models.py
+++ b/app/search/models.py
@@ -52,7 +52,7 @@ class Product(models.Model):
     id = models.IntegerField(
         "ID CTE", primary_key=True, unique=True, blank=False, null=False, db_index=True
     )
-    name = models.TextField("Название CTE", unique=True, blank=False)
+    name = models.TextField("Название CTE", blank=False)
     category = models.ForeignKey(
         Category, related_name="products", on_delete=models.CASCADE
     )
diff --git a/app/search/services/colors.py b/app/search/services/colors.py
new file mode 100644
index 0000000..e8c8d7e
--- /dev/null
+++ b/app/search/services/colors.py
@@ -0,0 +1,49 @@
+from typing import List, Dict
+
+
+def group(data: List[Dict], search_fields_d: List[Dict]) -> List[Dict]:
+    search_fields = []
+    search_fields_dict = []
+    for x in search_fields_d:
+        dat = dict(x)
+        search_fields.append(dat["value"].lower())
+        search_fields_dict.append(dat)
+    re = {}
+    n = 0
+    for el in data:
+        for field in search_fields:
+            if field in el["name"].lower():
+                if field in re:
+                    re[field].append((n, 0, el["name"].lower().index(field)))
+                else:
+                    re[field] = []
+                    re[field].append(
+                        [x["type"] for x in search_fields_dict if x["value"] == field][
+                            0
+                        ]
+                    )
+                    re[field].append((n, 0, el["name"].lower().index(field)))
+            m = 1
+            for char in el["characteristic"]:
+                if field in str(char["value"]).lower():
+                    if field in re:
+                        re[field].append(
+                            (n, m, str(char["value"]).lower().index(field))
+                        )
+                    else:
+                        re[field] = []
+                        re[field].append(
+                            [
+                                x["type"]
+                                for x in search_fields_dict
+                                if x["value"].lower() == field
+                            ][0]
+                        )
+                        re[field].append(
+                            (n, m, str(char["value"]).lower().index(field))
+                        )
+
+                m += 1
+        n += 1
+    data += [re]
+    return data
diff --git a/app/search/services/load_products.py b/app/search/services/load_products.py
index 192c4d4..b85b3a4 100644
--- a/app/search/services/load_products.py
+++ b/app/search/services/load_products.py
@@ -23,12 +23,10 @@ def load():
 
 
 def load_excel():
-    df = pd.read_excel("data.xlsx", sheet_name="Запрос1")
+    df = pd.read_excel("media/data.xlsx", sheet_name="Запрос1")
     for row in range(df.shape[0]):
         try:
             print(df.iat[row, 0], df.iat[row, 1], df.iat[row, 2])
-            if Product.objects.filter(id=df.iat[row, 0]).exists():
-                Product.objects.filter(id=df.iat[row, 0]).delete()
             product = Product(id=df.iat[row, 0])
             product.name = df.iat[row, 1]
             category = Category.objects.get_or_create(name=df.iat[row, 2])[0]
@@ -36,16 +34,35 @@ def load_excel():
             product.save()
             if df.iat[row, 4]:
                 for cat in literal_eval(df.iat[row, 4]):
-                    try:
+                    if "Value" in cat:
                         if "Unit" in cat:
-                            ProductUnitCharacteristic.objects.get_or_create(
+                            pr = ProductUnitCharacteristic.objects.get_or_create(
                                 characteristic=UnitCharacteristic.objects.get_or_create(
                                     name=cat["Name"],
                                     value=cat["Value"],
                                     unit=cat["Unit"],
                                 )[0],
                                 product=product,
+                            )[0]
+                            nums = re.findall(
+                                "[-+]?[.]?[\d]+(?:,\d\d\d)*[\.]?\d*(?:[eE][-+]?\d+)?",
+                                cat["Value"],
                             )
+                            if len(nums) == 1:
+                                pr.numeric_value_min = int(
+                                    float(nums[0].replace(",", "."))
+                                )
+                                pr.numeric_value_max = int(
+                                    float(nums[0].replace(",", "."))
+                                )
+                                pr.save()
+                            elif len(nums):
+                                nums = [int(float(x.replace(",", "."))) for x in nums]
+                                min_num = min(nums)
+                                max_num = max(nums)
+                                pr.numeric_value_min = min_num
+                                pr.numeric_value_max = max_num
+                                pr.save()
                         else:
                             ProductCharacteristic.objects.get_or_create(
                                 characteristic=Characteristic.objects.get_or_create(
@@ -53,13 +70,11 @@ def load_excel():
                                 )[0],
                                 product=product,
                             )
-                    except KeyError:
-                        # Empty Value
-                        continue
         except BaseException:
-            # malformed node or string: nan \ duplicate key
-            print("СКОРОСШИВАТЕЛЬ")
-            continue
+            try:
+                product.delete()
+            except Exception:
+                continue
 
 
 def process_unit_character():
diff --git a/app/search/services/search.py b/app/search/services/search.py
index 7216217..9100a71 100644
--- a/app/search/services/search.py
+++ b/app/search/services/search.py
@@ -57,7 +57,6 @@ def apply_qs_search(text: str):
             | Product.objects.filter(name__unaccent__icontains=word)
         )
     products = products.order_by("-score")
-    print(products)
     return products