FORECASTING

Analyse trends. Forecast demand. Improve inventory management.

Track trends in your inventory, understand customer preferences, and adjust offerings accordingly.
Illustration: forecasting demand by analysing fashion industry trends

How it works

Rich, consistent data builds a strong base for smarter analytics and decisions.
Illustration: before and after demand planning and inventory management through forecasting and analysisForecasting use case: Explaining the functionality of how it works.

WHY PIXYLE FOR FORECASTING

Sharper predictions, bigger wins

Enable analysis of historical sales data for more accurate future predictions, guiding informed decisions and optimising resource utilisation.

Stay ahead in the market game

Identify trends and shifts in demand in real time, empowering agile strategies for unbeatable market responsiveness.

Your profitability takes center stage

Diminish inventory risks, align supply with demand, and uncover growth opportunities that drive your success.

What our customers say

See all customers stories
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Image of Bianca Rangecroft, Founder & CEO of Whering
Whering logo: Recognizable emblem of the Whering brand.
"Pixyle makes our tags so much richer and our lives so much easier! Fantastic product, great customer service 👍."
Bianca Rangecroft
Founder & CEO @Whering
Bianca Rangecroft, Founder & CEO of Whering.Whering logo (black): Recognizable black emblem of the Whering brand.
"Pixyle makes our tags so much richer and our lives so much easier! Fantastic product, great customer service 👍."
Bianca Rangecroft
Founder & CEO @Whering
Laura Pelster, Digital Project Manager at Esprit.
Esprit logo (black): Recognizable black emblem of the Esprit brand.
''With the implementation of Pixyle's visual AI tagging, the laborious manual process of product data creation has been significantly streamlined and resulted in a substantial reduction in manual effort.''
Laura P.
Project Manager Commerce Technologies B2B @Esprit
Laura Pelster, Digital Project Manager at Esprit.Esprit logo (black): Recognizable black emblem of the Esprit brand.
''With the implementation of Pixyle's visual AI tagging, the laborious manual process of product data creation has been significantly streamlined and resulted in a substantial reduction in manual effort.''
Laura P.
Project Manager Commerce Technologies B2B @Esprit
Bradley King, Head of Product at Otrium.
Otrium logo (black): Recognizable black emblem of the Otrium brand.
"Working with Pixyle has allowed us to provide a better experience for our customers in making product discovery easy and more accurate, ensuring that every clothing item finds an owner."‍
Bradley King
Head of product @Otrium
Bradley King, Head of Product at Otrium.Otrium logo (black): Recognizable black emblem of the Otrium brand.
"Working with Pixyle has allowed us to provide a better experience for our customers in making product discovery easy and more accurate, ensuring that every clothing item finds an owner."‍
Bradley King
Head of product @Otrium
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Book a demo

Make it easy for your shoppers to find what they are looking for, hassle-free and instantly.

Find out how we can drive efficiency and sales to your business?
Book a free 30-minute call with one of our product specialists today.
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An overview of Pixyle’s Visual AI platform and its features
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Consultation how to leverage the platform to your needs
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Relevant case studies and an initial cost estimate
Provide an initial cost estimate based on your goals and requirements

Pixyle AI generates e-commerce product data that enables brands, retailers and marketplaces to deliver exceptional product discovery experiences.
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Example

Request:

Was this section helpful?

YesNo
curl
js
POST
/v1/ava/endpoint/ids
curl https://api.stripe.com/v1/credit_notes/cn_1FWqvi2eZvKYlo2CZd3TwT6n \
  -u sk_test_4eC39HqLyjWDarjtT1zdp7dc: \
  -d "metadata[order_id]=6735"
POST
/v1/ava/endpoint/ids

GET /collections/123456
Headers Authorization Bearer access_token

Example

Request:

Was this section helpful?

YesNo
curl
js
POST
/v1/ava/endpoint/ids
curl https://api.stripe.com/v1/credit_notes/cn_1FWqvi2eZvKYlo2CZd3TwT6n \
  -u sk_test_4eC39HqLyjWDarjtT1zdp7dc: \
  -d "metadata[order_id]=6735"
POST
/v1/ava/endpoint/ids

{
	  "id": 123456,
    "name": "test_3.csv"
    "product_count": 3,
    "processed_products_percentage": 0.00,
    "verified_products_percentage": 0.00,
    "created_at": "2023-01-01T12:00:00Z",
    "updated_at": "2023-01-01T12:00:00Z",
		"error_count": 0,
    "errors": []
}