The Retail accelerator is a technology solution aimed at helping retailers respond to the changing retail landscape and evolving customer habits. The accelerator supports an end-to-end omnichannel approach, allowing retailers to create a seamless brand experience for customers across physical stores and online channels.
Key features of the solution include Buy Online and Pickup In-store, Ship from Store, Return in Store, real-time data collection, inventory and assortment management, and order slicing and multiship management. These features are intended to help retailers improve their operations, make data-driven decisions, and better serve their customers.
The Omnichannel Accelerator reference architecture based on a Microservices approach is growth thanks to the strong collaboration with AWS Partner. The Accelerator can be hosted in AWS and in any other Cloud provider that can have Kubernetes and Apache Kafka solutions available as managed services. This solution offers the flexibility to work with any cloud service provider.
Replenishment is the action in the SCM (Supply Chain Management) in charge of restoration of a stock for a specific product in a specific place. Due to the very fast growing of the fashion retail market, replenishment has to evolve from the standard periodic stock movement to a more complex activity, taking into account several aspects of the overall scenario.
Forecasting service allows to determine, through Deep learning and Machine Learning algorithms, the forecast of demand based on: historical series of sales or shipping orders linked to a specific time period or to a particular sales initiative (eg. Black Friday, ...), product attributes (eg Seasonality, ..), particular marketing initiatives (eg. Discounts, ...).
The introduction of a scalable and flexible microservices framework is just the beginning of a comprehensive roadmap to enhance our solution with AI and data-driven decision algorithms. Our goal is to provide intelligent stock optimization and delivery, as well as a promotion engine based on NBA and NBO. Optimization is a key driver in the retail industry and we aim to provide a flexible solution that connects physical and digital touchpoints, as well as legacy and fast-running systems. With the ability to scale both vertically and horizontally according to demand peaks, business opportunities, and solution requirements, our solution offers unmatched flexibility and high availability. Additionally, our solution leverages real-time data streams across the value chain to improve data-driven decisions, including ML-based replenishment and demand forecasting.
The Omnichannel Accelerator leverages the capabilities of the Salesforce platform by integrating Salesforce Commerce Cloud and Salesforce Order Management. This integration extends processes to include stores, warehouses, CRM, and beyond. The solution offers several benefits, including easy and seamless integration within the Salesforce ecosystem, the connection of post-purchase experiences, enabling inventory optimization and smart routing, and simplifying process design through the use of Flow, Agile Platform, and headless APIs.
The activation of courier services has never been easier with the decoupling through a unique middleware. This approach provides the fastest means of activating new couriers and streamlining the delivery process. In addition, the integration of payment service providers is made seamless with the unique adapter, allowing for the maintenance of multi-captures, refunds and voids in a plug and play manner. This provides a hassle-free integration that ensures the payment process is smooth and efficient.
This accelerator is able to support the end-to-end omnichannel execution.
In order to deal with retail challenges, retailers have to rethink their business and operating models operationally executing them at an unprecedented pace, leveraging the opportunities arising from technology.
Given the current changes in purchasing habits, it is important for individual stores and large chains to create new sales experience in new store-non store channels which go beyond the physical store to achieve a 360° brand experience embracing the customer.
Containerization approach enabling the adoption for any Cloud Provider.
The Omnichannel Accelerator reference architecture based on a Microservices approach is growth thanks to the strong collaboration with AWS Partner. The Accelerator can be hosted in AWS and in any other Cloud provider that can have Kubernetes and Apache Kafka solutions available as managed services. (e.g. Microsoft Azure)
Accelerating Omnichannel processes activation thanks a Microservices architecture.
The introduction of a scalable and flexible micro-services framework is just the first step of an ambitious roadmap that brings to enrich this idea with AI and Data driven Decision Algorithm, aiming to provide intelligent Stock Optimization and Delivery, Promotion engine based on the NBA and NBO.
As stated, the optimization is one of the main drivers of the Retail goals. We see an ocean of opportunities, to bring to the market a flexible solution that today represent a bridge between physical and digital, and between the legacy and the “fast Running” touch point.
Nothing is out there today to equally address these needs.
Retail Omnichannel Accelerator offers customizable retail solutions with AI and ML capabilities for optimized omnichannel management, enhancing stock and shipment efficiency, and providing seamless end-to-end customer experiences.
Easy and seamless adoption in Salesforce ecosystem
Connect the Post-Purchase Experience
Enable Inventory optimization and Smart Routing
Simplify processes design with Flow
Huge of services to simplify the integration with third party systems
Strong partnership for several success projects
Mash-up capabilities to achieve scalable infrastructure and flexible integration
Composable Apps to accelerate Omnichannel processes adoption
Digital and Physical coverage
Salesforce and AWS long term experiences
Consultancy and strategy support
Scalable and reliable microservices ecosystem
Data driven approach applying AI on data optimizing stock operations