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Use Cases

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Customized product offering

By using face recognition algorithms, you can suggest the best fitting product at individual customer level.

Inventory Management

Use simulation technologies powered by ML to analyse and estimate inventory data real time.

Product Recommendations

Improve your recommendation engine and increase revenue & user engagement.

Search Engine Improvement

With the help of AI, you can better tag and surface your inventory, and improve the user funnel and conversion rates.

Product Image Categorization

Categorize your product inventory in a scalable way, based on pre-defined tags or categories.

Review Categorization

Analyze your customer reviews in a scalable way and drive useful insights for your product offering, pricing etc.

Vendor Quality Assurance

Ensure vendor quality with automated checks of inventory details provided.

Image transcription

Automate extraction of product details and characteristics from inventory images.

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Case Studies

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How it works

Simple to use APIs, labeling tools, AI models with the click of a button

Product Image Categorization
Product Image Categorization
Review Categorization
Review Categorization
Vendor Quality Assurance
Vendor Quality Assurance
Image Transcription
Image Transcription
Input
OUTPUT
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dp = DataProgram("image-tagging")
instance = dp(name="my-image-tagging", instructions="Select the most appropriate tag(s) for the content of the image")
instance.label(inputs=["https://cdn.super.ai/Webflow+assets/lee-campbell-qNPESem_t4I-unsplash.jpg"])

curl -X POST \
"https://super.ai/v1/apps/my-image-tagging/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["https://cdn.super.ai/Webflow+assets/lee-campbell-qNPESem_t4I-unsplash.jpg"]}'

superai client create_jobs \
--app_id my-image-tagging \
--inputs ["https://cdn.super.ai/Webflow+assets/lee-campbell-qNPESem_t4I-unsplash.jpg"]

{
 "label": {
   "choices": [
     {
       "tag": "0",
       "value": "bag"
     },
     {
       "tag": "1",
       "value": "dress"
     },
     {
       "tag": "2",
       "value": "jeans"
     },
     {
       "tag": "3",
       "value": "lifestyle"
     },
     {
       "tag": "4",
       "value": "sports"
     },
     {
       "tag": "5",
       "value": "business"
     }
   ],
   "selections": [
     {
       "tag": "0",
       "value": "bag"
     },
     {
       "tag": "2",
       "value": "jeans"
     },
     {
       "tag": "3",
       "value": "lifestyle"
     }
   ]
 }

{
 "label": {
   "choices": [
     {
       "tag": "0",
       "value": "bag"
     },
     {
       "tag": "1",
       "value": "dress"
     },
     {
       "tag": "2",
       "value": "jeans"
     },
     {
       "tag": "3",
       "value": "lifestyle"
     },
     {
       "tag": "4",
       "value": "sports"
     },
     {
       "tag": "5",
       "value": "business"
     }
   ],
   "selections": [
     {
       "tag": "0",
       "value": "bag"
     },
     {
       "tag": "2",
       "value": "jeans"
     },
     {
       "tag": "3",
       "value": "lifestyle"
     }
   ]
 }

{
 "label": {
   "choices": [
     {
       "tag": "0",
       "value": "bag"
     },
     {
       "tag": "1",
       "value": "dress"
     },
     {
       "tag": "2",
       "value": "jeans"
     },
     {
       "tag": "3",
       "value": "lifestyle"
     },
     {
       "tag": "4",
       "value": "sports"
     },
     {
       "tag": "5",
       "value": "business"
     }
   ],
   "selections": [
     {
       "tag": "0",
       "value": "bag"
     },
     {
       "tag": "2",
       "value": "jeans"
     },
     {
       "tag": "3",
       "value": "lifestyle"
     }
   ]
 }

Input
OUTPUT
Product Image Categorization
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("text-tagging")
instance = dp(name="my-text-tagging", instructions="Select the most appropriate tag(s) for the content of the text",
instance.label(inputs=["I loved the color and I think it looks fabulous, but the fit was totally wrong so I couldn't really wear it"])

curl -X POST \
"https://super.ai/v1/apps/my-text-tagging/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["I loved the color and I think it looks fabulous, but the fit was totally wrong so I couldn't really wear it"]}'

superai client create_jobs \
--app_id my-text-tagging \
--inputs ["I loved the color and I think it looks fabulous, but the fit was totally wrong so I couldn't really wear it"]

{
 "label": {
   "choices": [
     {
       "tag": "0",
       "value": "highly rated aesthetic"
     },
     {
       "tag": "1",
       "value": "highly rated fit"
     },
     {
       "tag": "2",
       "value": "highly rated quality"
     },
     {
       "tag": "3",
       "value": "average rated aesthetic"
     },
     {
       "tag": "4",
       "value": "average rated fit"
     },
     {
       "tag": "5",
       "value": "average rated quality"
     },
     {
       "tag": "6",
       "value": "poorly rated aesthetic"
     },
     {
       "tag": "7",
       "value": "poorly rated fit"
     },
     {
       "tag": "8",
       "value": "poorly rated quality"
     }
   ],
   "selections": [
     {
       "tag": "0",
       "value": "highly rated aesthetic"
     },
     {
       "tag": "7",
       "value": "poorly rated fit"
     }
   ]
 }

{
 "label": {
   "choices": [
     {
       "tag": "0",
       "value": "highly rated aesthetic"
     },
     {
       "tag": "1",
       "value": "highly rated fit"
     },
     {
       "tag": "2",
       "value": "highly rated quality"
     },
     {
       "tag": "3",
       "value": "average rated aesthetic"
     },
     {
       "tag": "4",
       "value": "average rated fit"
     },
     {
       "tag": "5",
       "value": "average rated quality"
     },
     {
       "tag": "6",
       "value": "poorly rated aesthetic"
     },
     {
       "tag": "7",
       "value": "poorly rated fit"
     },
     {
       "tag": "8",
       "value": "poorly rated quality"
     }
   ],
   "selections": [
     {
       "tag": "0",
       "value": "highly rated aesthetic"
     },
     {
       "tag": "7",
       "value": "poorly rated fit"
     }
   ]
 }

{
 "label": {
   "choices": [
     {
       "tag": "0",
       "value": "highly rated aesthetic"
     },
     {
       "tag": "1",
       "value": "highly rated fit"
     },
     {
       "tag": "2",
       "value": "highly rated quality"
     },
     {
       "tag": "3",
       "value": "average rated aesthetic"
     },
     {
       "tag": "4",
       "value": "average rated fit"
     },
     {
       "tag": "5",
       "value": "average rated quality"
     },
     {
       "tag": "6",
       "value": "poorly rated aesthetic"
     },
     {
       "tag": "7",
       "value": "poorly rated fit"
     },
     {
       "tag": "8",
       "value": "poorly rated quality"
     }
   ],
   "selections": [
     {
       "tag": "0",
       "value": "highly rated aesthetic"
     },
     {
       "tag": "7",
       "value": "poorly rated fit"
     }
   ]
 }

Input
OUTPUT
Review Categorization
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("image-tagging")
instance = dp(name="my-image-tagging", instructions="Select the most appropriate tag(s) for the content of the images")
instance.label(inputs=["https://cdn.super.ai/Webflow+assets/Vendor+Quality+Input.jpg"])

curl -X POST \
"https://super.ai/v1/apps/my-image-tagging/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["https://cdn.super.ai/Webflow+assets/Vendor+Quality+Input.jpg"]}'

superai client create_jobs \
--app_id my-image-tagging \
--inputs ["https://cdn.super.ai/Webflow+assets/Vendor+Quality+Input.jpg"]

{
 "label": {
   "choices": [
     {
       "tag": "0",
       "value": "images are varied"
     },
     {
       "tag": "1",
       "value": "images show front and back"
     },
     {
       "tag": "2",
       "value": "image is accurate to color"
     }
   ],
   "selections": [
     {
       "tag": "0",
       "value": "images are varied"
     },
     {
       "tag": "1",
       "value": "images show front and back"
     },
     {
       "tag": "2",
       "value": "image is accurate to color"
     }
   ]
 }

{
 "label": {
   "choices": [
     {
       "tag": "0",
       "value": "images are varied"
     },
     {
       "tag": "1",
       "value": "images show front and back"
     },
     {
       "tag": "2",
       "value": "image is accurate to color"
     }
   ],
   "selections": [
     {
       "tag": "0",
       "value": "images are varied"
     },
     {
       "tag": "1",
       "value": "images show front and back"
     },
     {
       "tag": "2",
       "value": "image is accurate to color"
     }
   ]
 }

{
 "label": {
   "choices": [
     {
       "tag": "0",
       "value": "images are varied"
     },
     {
       "tag": "1",
       "value": "images show front and back"
     },
     {
       "tag": "2",
       "value": "image is accurate to color"
     }
   ],
   "selections": [
     {
       "tag": "0",
       "value": "images are varied"
     },
     {
       "tag": "1",
       "value": "images show front and back"
     },
     {
       "tag": "2",
       "value": "image is accurate to color"
     }
   ]
 }

Input
OUTPUT
Vendor Quality Assurance
Input
OUTPUT
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

dp = DataProgram("image-structured")
instance = dp(name="my-image-structured", instructions="Transcribe the dimensions of the product in the image and choose the appropriate tags.")
instance.label(inputs=["https://cdn.super.ai/Webflow+assets/image+transcription+input.png"])

curl -X POST \
"https://super.ai/v1/apps/my-image-structured/job" \
-H "API-KEY: live_t9wHIzxjuGSuKTx2jWQTzgXehu1uvkK27QM3tzm6f1g" \
-H "Content-Type: application/json" \
-d '{"inputs":["https://cdn.super.ai/Webflow+assets/image+transcription+input.png"]}'

superai client create_jobs \
--app_id my-image-structured \
--inputs ["https://cdn.super.ai/Webflow+assets/image+transcription+input.png"]

{
 "label": [
   {
     "field_id": "Width",
     "field_type": "Float",
     "field_value": "3.9"
   },
   {
     "field_id": "Height",
     "field_type": "Float",
     "field_value": "5.5"
   },
   {
     "field_id": "Depth",
     "field_type": "Float",
     "field_value": "na"
   }
   ],
   "choices": [
     {
       "tag": "0",
       "value": "missing width"
     },
     {
       "tag": "1",
       "value": "missing height"
     },
     {
       "tag": "2",
       "value": "missing depth"
     }
     ]
    "selections": [
     {
       "tag": "2",
       "value": "missing depth"
     }
   ]
 }
}

{
 "label": [
   {
     "field_id": "Width",
     "field_type": "Float",
     "field_value": "3.9"
   },
   {
     "field_id": "Height",
     "field_type": "Float",
     "field_value": "5.5"
   },
   {
     "field_id": "Depth",
     "field_type": "Float",
     "field_value": "na"
   }
   ],
   "choices": [
     {
       "tag": "0",
       "value": "missing width"
     },
     {
       "tag": "1",
       "value": "missing height"
     },
     {
       "tag": "2",
       "value": "missing depth"
     }
     ]
    "selections": [
     {
       "tag": "2",
       "value": "missing depth"
     }
   ]
 }
}

{
 "label": [
   {
     "field_id": "Width",
     "field_type": "Float",
     "field_value": "3.9"
   },
   {
     "field_id": "Height",
     "field_type": "Float",
     "field_value": "5.5"
   },
   {
     "field_id": "Depth",
     "field_type": "Float",
     "field_value": "na"
   }
   ],
   "choices": [
     {
       "tag": "0",
       "value": "missing width"
     },
     {
       "tag": "1",
       "value": "missing height"
     },
     {
       "tag": "2",
       "value": "missing depth"
     }
     ]
    "selections": [
     {
       "tag": "2",
       "value": "missing depth"
     }
   ]
 }
}

Input
OUTPUT
Image Transcription

super.ai pillars

The 3 Pillars of super.AI

Worlds first guaranteed AI service

All you have to do is choose your desired quality level - we can guarantee that for you. We can deliver that thanks to your data programming and Meta AI capabilities.

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AI doesn't have to be complicated. We offer a single interface and infrastructure. You only integrate once and we take care of the rest.

90% cost saving with weak supervision

Use all sources of supervision and combine them to achieve your required quality threshold. The more information you add, the higher the quality.

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