Learn how eXtra, a popular consumer electronics retailer in the Gulf region, increased Conversion Rate and AOV using the right product recommendation strategies.

Vendor Link helped Prince Retail streamline its order management process, bring transparency in its payment processing, and build a data-driven culture across its vendor ecosystem.

Learn how adding trend-based guard-railing to machine learning-based Demand Forecasting can help reduce errors and improve accuracy.

Learn how adding trend-based guard-railing to machine learning-based Demand Forecasting can help reduce errors and improve accuracy.

Retail demand forecasting has forever changed. Learn why retailers are turning to AI-powered demand forecasting amid escalating competitive and supply chain challenges.

Customer Journey Orchestration helps you reimagine your approach to customer experience with hyper-personalized omnichannel journeys. Learn more.

Recommend™ and Engage™ deliver $88 million in attributable sales, over 50% attributable revenue on mobile app, and 250% higher RPM.

40% of the company’s Attributable Sales come through cross-sell using Recommend™, in addition to 5% incremental revenue uplift.

Recommend™ delivers 365% higher attributable revenue and 279% more clicks from personalized email campaigns, plus higher conversion rates.

Grocery retail has irrevocably changed. The last two years in particular have exposed many gaps in business.

Grocers are facing unprecedented top and bottom-line erosion due to stock issues.

Grocery retail supply chains are getting more complex and unmanageable with traditional forecasting models.

Algonomy’s Vendor Link fit in perfectly with the client’s requirement of a 360-degree supplier collaboration platform.

Learn how companies have used products from our Omnichannel Personalization Suite to increase conversion rates, basket sizes, and revenues.

The holiday season is a veritable goldmine for retailers. Yet, hurdles such as site-wide outages, glitches in supply and demand, and a dearth of personalization efforts keep brands from capitalizing on the shopping rush.

The Technology & Tradecraft of Hyper-Personalized Buyer Experiences

Take the guesswork out with rapid, intelligent, and granular demand forecasting.

Optimize your replenishment planning to achieve lean inventory and reduced out-of-stocks.

Merchandise Analytics helps them reduce excess inventory by 30%, increase inventory sell-thru by 12%, cut down sales loss by $20mn, and more.

Using VendorLink, they increase new product registrations by 100%, reduce the time taken to close vendor issues by 70%, and more.

VendorLink helps them reduce vendor and product onboarding lead time by 97%, reduce invoice disputes, and monetize data insights.

Using Merchandise Analytics, they plug revenue leakage by $5mn and reduce the lead time to plan and execute promotions by 93%.

Case Study B. TECH Hyper-personalizes Key Touchpoints in Digital Commerce GET THE PDF Segment Consumer Electronics Objective Drive sales with personalization across the buying journey on web, mobile site, Android and iOS apps Product Used Outcomes 18.6% attributable sales (compared...

Assortment Edge helps them reduce range planning efforts by 87.5% and improve the productivity of assortment planners by 700%.

Recognizing customers as individuals, responding in real-time, and personalizing across the customer’s digital lifecycle is the way forward.

Using Recommend™ and Discover™, the Scandinavian fashion retailer improves conversion rate by 11% and AOV by 9.5%.

Drive greater results with increased interactivity and control on site search.

A quick video on how QSRs can leverage mobile app personalization to deliver individualized experiences that convert more.

Get actionable tactics for eCommerce personalization, with 20+ real examples from different retail verticals.

The Algonomy Personalization Suite helps the Japanese entertainment webstore increase AOV by 6.25% and items per order by 8.39%.

Make every interaction personal. Combine human and artificial intelligence for better results.

The Brazilian beauty retailer uses Recommend™, Find™, and Engage™ to increase conversions by 4%, AOV by 55%, and get 3x engagement.

Create memorable experiences across all touchpoints with a real-time platform.

Which brands are setting new benchmarks in the use of algorithmic decisioning to improve business results? Check out the winners.

The European retailer uses Recommend™ to get 3x revenue from orders with recommendations and increase average basket value by 20%.

Real-time customer data platform for personalized 1:1 engagement.

Real-time business intelligence from Restaurant Analytics helps the pizza chain improve operating efficiency by 92% across 9 business functions.

The supermarket chain increases RPV by 46%, AOV by 10%, and attributable revenue by 20% using the Algonomy Personalization Suite.

Create highly relevant content experiences for each individual customer.

Using the Algonomy Personalization Suite, the shopping cooperative drives 71% more sales per view on mobile, 17% higher AOV, and more.

Collaborate with vendors seamlessly through a self-service platform.

The company uses Algonomy’s CDP and Customer Journey Orchestration to grow digital accounts by 100% and mobile app usage 4x.

Personalize browse and navigation with the most relevant products.

The Finnish e-store giant increases conversion rates by 31%, basket sizes by 25%, and more using the Algonomy Personalization Suite.

Drive profitable category growth with algorithmic category management.

Algonomy’s customer data platform and CJO help the Spanish cooperative increase average basket values by 19% and visit frequency by 10%.

Connect with customers in the moment, where they are, to drive conversions up.

The leading US thrift store increases conversions by 7.3% and improves their brand perception and customer engagement using Find™.

Make smarter decisions for a segment of one with personalization AI.

Personalize new and long-tail products immediately and improve relevancy.

Personalize faster with pre-built connectors to leading commerce platforms.

Deliver hyper-personalized digital experiences with algorithmic solutions.

Automated customer-centric assortment plans to improve full-price sell thru.

Powering intelligent merchandising decisions with algorithms.

Watch market leaders from across countries and retail verticals talk about personalization best practices and success stories.

eCommerce experts talk about how digital-first algorithmic strategies driven by customer-centricity supercharges businesses.

Watch QSR leaders speak about using Cloud and AI to hyper-personalize customer experiences and generate operational excellence for business.

A multinational conglomerate that operates across 40 countries, driving over 30 businesses and 300 brands.

The client runs the pizza business for one of the top three pizza brands in the world. They own and operate over 500 stores across 200+ cities, catering to over 50 million orders from 7+ million customers.

Learn how to measure and improve Findability, one of the most important metrics in your digital customer experience toolkit.

#NextBeginsNow: Experts discuss the algorithmic future of retail, emerging customer trends, latest tech and practices, and road-tested tactics.