Reply's AI-driven omnichannel recommendation solution empowers businesses to enhance user experiences within the realm of sales personalisation.
Case Study
Online shopping is easier and faster thanks to the AI Recommendation Engine
Coop Alleanza 3.0 chooses Syskoplan Reply's recommendation solution to simplify and improve the purchase process for its customers on the EasyCoop e-commerce platform.
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The challenge
Ensure a smoother and faster e-commerce experience for users, managing the seasonality of products, promotional items and customer preferences.
SCENARIO
Facilitate the online shopping experience
Online shopping is now a consolidated practice, increasingly widespread and constantly evolving. In this context, being able to rely on agile and flexible technological and consumer experience solutions, which facilitate and guide the shopping experience on digital platforms, becomes a crucial differentiating factor. For this reason, Coop Alleanza 3.0 expressed the need to integrate a product recommendation engine on its EasyCoop e-commerce platform: a system that facilitates the user in the purchase process while effectively suggesting offers and new products.
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The solution
A consistent and flexible recommendation system
To support the request for Coop Alleanza 3.0, Syskoplan Reply has integrated its AI Recommendation Engine, which uses machine learning, artificial intelligence and statistical algorithms to simplify the management of digital paths and improve the customer experience. This tool, applicable both to the mobile app and on the web, makes it possible to speed up all the main operations that lead to filling the cart and the transaction. Thanks to the profiling and analysis of the user's choice and purchase behavior, every step is made easier. In this way, the user can evaluate proposals and offers for new products consistent with his preferences, while the retailer can convey promotions and campaigns in line with sales objectives. In addition, thanks to low-code/no-code methodologies, the intuitive interface is easily manageable and updatable, quickly adapting to recommendation strategies.
How did we do it
Latest generation technologies and low code approach
Conceived as a “hybrid SaaS solution on a private cloud”, the AI Recommendation Engine is flexible and highly customisable. In addition to Machine Learning and AI, the application was implemented with a double methodological approach; first, indexing the contents, and then creating the recommendation service. This service is designed to offer maximum flexibility to the business department, allowing them to adjust the recommendation rules according to their needs using a low-code mode.
Profiling
It is possible to know in detail the choices and purchasing behaviours of users and customers, customising the offer.
Velocity
Thanks to the solution, users can complete their purchase easily and quickly.
Promotion strategies
Coop Alleanza 3.0 may promote certain products or offers, according to its business plan.
Converting
With relevant product recommendations, shoppers more easily become loyal customers.
Discover our tool
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EasyCoop is Coop Alleanza 3.0's online shopping service - accessible both from the website www.easycoop.com and from the App - and is active in more than 110 Italian municipalities spread across the provinces of Bologna, Ferrara, Modena, Reggio Emilia, Parma, Ravenna, Forlì and Cesena; and in more than 210 municipalities between Rovigo, Padua, Treviso, Vicenza and Venice-Mestre.
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Syskoplan Reply supports its customers in implementing the most recent and innovative Digital Transformation solutions to improve the entire chain of digital value creation. As an award-winning SAP partner, Syskoplan Reply is a leader in the SAP ecosystem that orients its offer towards future-oriented customers who want to use SAP solutions as the digital basis of their company. In this sense, Syskoplan Reply's skills cover a wide range of technologies, starting with SAP enterprise applications, such as SAP Leonardo, SAP Cloud Platform, SAP SCM, SAP BI and SAP Customer Experience Suite (Commerce, Customer Data Platform, CRM and Marketing), and then extending to the wider network of SAP partner solutions such as Akeneo, Coveo, Mirakl, Contentful and beyond the SAP ecosystem.