Amadesa

With the increasing demands on driving ROI coupled with limited company resources and competing priorities, marketers and merchandisers today need a powerful personalization engine that will automatically present the best recommendations for their customers. At the same time, the flexibility to set business rules, create and test different themes, and communicate consistently across marketing channels is equally vital for success.

Amadesa’s RecommendR™ allows you to personalize product recommendations across any page on your web site, through email communications to your customers and via your call center representatives. Focusing on improving key metrics such as average order values, revenue per visit, conversions and overall sales, Amadesa’s RecommendR software sets the standard for automated merchandising.

• Cross-channel Options — Consistently deliver recommendations across the entire web site, via email and within a call center environment. Deploy on home pages, category and products pages, in search results, on the shopping cart, at order completion and more. Personalize recommendations in email and empower call center representatives to cross- and up-sell customers in real-time.
• Recommendation type flexibility — Advanced recommendation types accommodate any business objective – whether it’s to increase order values, help move distressed inventory or package product solutions. Flexible recommendation settings allow marketers to create multiple recommendation sets per page.
• Integrated Testing capabilities — Tailor recommendation efforts to visitors by leveraging A/B testing to deliver different recommendation themes. Utilize ‘Pick the winner’ optimization techniques to allow several different themes to run simultaneously, with the best performing algorithm automatically selected for that optimization.
• Advanced business rules — Set merchandising rules to complement automated recommendation efforts. Whether matching specific brands together or excluding competing brands from one another, etc., advanced business rules provide the autonomy to achieve any recommendation objective.
• No catalog integration required — JavaScript tags capture and store product catalog details, ensuring real-time updates as metadata changes. No ongoing IT resources required to manage, edit or alter the catalog.

• Increased order values and revenue — By personalizing recommendations, RecommendR increases customer engagement and loyalty, and ultimately improves the marketer’s KPIs.
• Reduced cost of management — With an intuitive UI, the Amadesa Customer experience suite lets users quickly set up optimizations with its’ simple, step-by-step installation wizard. And without a need for catalog integration, the RecommendR engine can be live and adding value to your Web site in a matter of hours and days, not weeks and months.
• Continuous learning — RecommendR automatically learns and adapts to evolving customer behaviors and preferences to generate relevant recommendations for the visitor in real-time. As clicks increase, the algorithm learns and associates faster in building a more robust and relevant set of recommendations. It gets smarter over time.
• Enhanced customer experience — The Amadesa Customer Experience Suite provides users with the flexibility in delivering a broad array of recommendation options, from setting diverse business rules to displaying recommendations in various creative formats