Uncover 2024’s HOTTEST ecommerce personalization trends & master customer engagement. Explore Now!
Uncover 2024’s HOTTEST ecommerce personalization trends & master customer engagement. Explore Now!
Personalize without behavioral data, with a human-like touch
Leading retailers and brands across the globe have grown their revenue with Algonomy’s personalization software.
Leverage Visual AI and convolutional neural networks to detect and extract feature vectors and graph visual similarities between products. Generate relevant recommendations across fashion, lifestyle, and furniture verticals, and help shoppers make a decision.
Apply Visual AI for ‘complete the look’ and other cross-sell strategies just like human merchandisers. Grow basket sizes without having the shoppers do the heavy lifting of finding matching products across categories.
Use NLP-based deep learning algorithms to analyze catalog descriptions, reviews, and other textual data to infer relationships between products. Automatically recommend relevant new launches and long-tail items, without having to rely on historical events.
Combine deep learning with behavioral data to dramatically improve the quality of recommendations that reflect an individual shopper’s specific needs and preferences.
Real-time, on the access to actionable business intelligence on sales, planning, operations, digital & labor
Single view of E-Commerce report data for 38 KFC markets. Integrated with Google Analytics, Dynatrace
We instinctively knew that using visual aspects of a product for recommendations is effective in fashion and lifestyle business – it’s much closer to the expertise of our merchandisers. I am excited with early results – our engagement is up 40% over our merchandising rules, and revenue per 1000 impressions has increased by 19%, compared to the other recommendation models.
“With Algonomy DeepRecs NLP, recommendations are based on product descriptions, rather than past purchases or historical browsing data. As a result, even for highly specialized and seasonal products, we can now recommend products with similar affinities, which makes shopping very convenient, highly relevant, and valuable for our shoppers.”
Deep recommendations with NLP is right now the top strategy, and is delivering average attributable sales of Eur 10.68 per click. The results are scaringly good. Without Algonomy, we wouldn’t have used these innovative AI technologies that differentiate us, and help us grow.
Explore our eCommerce personalization resources — best practices, case studies, videos, and more — to stay ahead of the curve.
Explore other solutions from our end-to-end personalization software, and learn how they enable individualized experiences at different shopper touchpoints.
Deliver unique, contextual search results based on the individual shopper’s behavior. Eliminate instances of zero results with search that learns from the wisdom of crowds.
Eliminate decision fatigue by presenting the most relevant products upfront and dynamically re-sorting category pages as per a shopper’s real-time intent.
Leverage 150+ pre-built strategies and a decisioning engine to curate 1:1 recommendations that boost conversions and basket sizes.
Increase engagement and conversion rates with urgency messaging based on real-time views, purchases, and inventory levels.
DeepRecs helps businesses overcome key challenges such as:
Businesses have experienced a significant improvement in KPIs with DeepRecs:
Yes. Through a simple user interface, merchandisers can set custom weights for different attributes such as brand, category, price, newness, and more. In addition, personalization delays can be set to impact how quickly you want to influence search results. Merchandisers can also set boost and bury rules to meet a retailer’s business, brand, or margin commitments.
The personalization software is equipped with an Experience Optimizer (XO) that selects the winning strategy based on the Unified User Profile Service (UPS) and the chosen KPI — RPV, AOV, Conversion Lift, etc. This AI-driven decisioning by XO ensures all strategies compete in real-time, and the highest performing strategy is chosen, such that the most relevant product/content is shown to every shopper for each interaction, without the need for manual merchandising and rules.
Algonomy understands the unique needs of different retail segments and has proven expertise with the verticals of fashion and apparel, jewelry, furniture, and more.
Anyone with product text descriptions is a candidate. Text data can be provided as a separate feed or within the catalog feed. NLP uses text fields, product name, brand, other attributes as well as customer reviews.
Leave the decisioning to AI – XO will decide the most suitable strategy for a placement based on the user profile, context, your goals, and availability of behavioral data.
Visual AI has been pre-trained on large image datasets as well as merchandiser curated looks. The neural networks extract feature vectors from the images and work with new catalogs with minimal incremental training. For complete-the-look, your merchandisers only need to define the categories to be recommended, and the algorithm uses images as well as behavioral data to tailor recommendations.
When a shopper visits an eCommerce store, their intent is to find what they are looking for in the shortest possible time.
Use Algonomy DeepRecs to improve product discovery and grow the number of returning customers to your online store.
