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Smart Product Recommendation System

A good recommendation system will always boost your sales. When it comes to apparels or footwear, the use of better recommendations using image contents are always a matter of prime importance.

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Key features

Enhance ecommerce customer experience

  • In a competitive e-commerce market, a simple recommendation system wont serve your purpose. It’s time to say Goodbye to old recommenders based on collaborative filtering, theoretical segmentation. That’s where deep learning comes into picture.
  • Stridely’s AI powered Smart Product Recommendation System provide relevant recommendations to every shopper with levels of personalization determined by the context of the categories or search terms including similar products, handpicked products, promotional offers, categories or brands, and new arrivals.
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Key features

Quick and Easy Integration into Your Environment

  • Quick Integration through easy to use APIs, SDKs
  • Enables quick and easy addition of any Business Rules through boosters or filters.
  • Customized solutions as per requirement of specific industry
  • Our AI Powered Recommendation system is based upon Deep learning and Natural Language Processing
  • Formation of Deep Neural Networks helps to predict the next action based on the historical behavior
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Increased conversion rate

AI capabilities have made it possible to take your website’s raw visitor data and make informed predictions about customer preferences and intent to increase conversion and drive positive business outcomes.

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Improve cart value

Recommending the same things over and over again is clearly not going to improve the value of people’s carts since they’ve already seen those products, are not interested in them, or might not want to repurchase. Instead, you’re using your large database of products to always recommend new products that will appeal to their needs and wants.

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Make your own rules

Tailor the shopping experience across your entire site to fit your merchandising strategies. We build custom recommendation engines that utilize filters, amplifiers and visibility conditions to match products and customers.

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Key features

Maximize revenue with a deep learning recommendation system

  • Algorithm modeled off the entire product catalog
  • Cross-category personalization
  • Lower the barrier to AI adoption and accelerate data-driven decisions
  • Deep reporting and analytics
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Personalize Content with Highly Versatile and Scalable Solution

Building on our large platform from numerous domain names and location sizes, we write our very own algorithms to suit customers’ needs.

Personalized Recommendation automatically suggests items that best compliment a specific product being viewed by customers at the bottom of each product page.

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Encourage Up-sell and Cross-sell

Providing with the facility of recommending the similar product based on the selected product with matching the pattern, color, type of item as to provide with more varieties and better options for the same product.

Upsell and cross-sell products with visually similar and complete the look recommendations

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Retail Analytics Dashboard

Share Insights Across Regions

  • Retail trends move faster – our dashboard provides insights across organization even more faster.
  • Stay ahead of trends, better manage inventory and supply chain processes.
  • Extremely needed retail dashboard in this data-driven sector, aggregating the various KPIs you are tracking to give you the pulse of your company.

Deep learning & NLP powered customer sentiment analysis

  • Using sentiment analysis and natural language processing, breakdown customer feedback into powerful consumer data.
  • Drill down by factors like product, location, and time period to see how different variables impact customer experience.
  • Gain a deeper understanding of individual customer experience at both granular and aggregated level.
  • Personalized marketing outreach to Yelp customers based on reviews.

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what our clients have to say

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Sophie LeonardCEO shark
Sophie Leonard
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Herman NortonStudio Director
Herman Norton
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Amanda ParksCYBERO
Amanda Parks

Industries We Serve

While tools and technologies are the same for most industries, their use can be completely different. We have an extensive portfolio of industries that we serve adhering to strict standards and compliance requirements while tackling unique business challenges.

Manufacturing

Healthcare

Water & Chemical Treatment

Digital Marketing

Automotion

Retail

Leverage Machine Learning and Deep Learning solutions to transform your business paradigm

Businesses generate a massive amount of data and it is essential to convert that data into insights. This helps companies to solve critical challenges. Machine learning algorithms help organizations to process their data, analyze it, and present them with meaningful insights.

With Stridely Solutions’ AI services, you will be able to explore the possibilities hidden in your data. We develop custom solutions that help you process high volumes of data and run sophisticated algorithms for machines to learn how to perform a task by themselves. Our experienced team uses machine learning, Deep learning and NLP for anomaly detection, forecasting, spam filtering, product recommendations, and many more ML and AI applications.

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