PredictSpring has built a robust and secure integration with Salesforce Commerce Cloud (Demandware). The integration includes the flexibility to enable several features
independently and/or as a combined offering. These features include user account management, real-time user cart synchronization, and checkout. These components can also support several forms of payment, including digital wallets such as Android Pay and Apple Pay, guest credit cards, and stored credit cards.
PredictSpring natively supports find-in-store and ship-to-store capabilities, delivering a true omni channel shopping experience for consumers and a 360-view of customers for
store associates. Personalized content and promotions can also be served at the customer group level to further drive conversions.
Unite the retail experience and deliver through every channel. PredictSpring’s integration with Salesforce Commerce Cloud gives stores a single source of truth to manage in-store and ecommerce channels. Provide customers with a seamless end-to-end journey as they move through sales, purchasing, order management, order fulfilment and more while offering the same service levels at every step.
Connect customer experiences from across every channel. Collate customer data onto a single platform and use this to build out enriched profiles using past purchase information, consultation notes and personalization quizzes. Leverage unified customer information to create personalized experiences during every interaction, and see revenue grow across channels.
Use Salesforce Service Cloud features to enhance omni channel customer profile management with faster account creation, profile building and customer lookup capabilities.
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Break down the silos between in-store and ecommerce. Use SFCC and the Modern POS to easily synchronize existing shopping carts and wishlists, allowing customers and associates to view and manage from wherever they are.
Introduce the Endless Aisle module to take this to the next level, letting customers browse and buy from the entire catalog of online and in-store inventory. Whether customers are online or in a physical store, SFCC and PredictSpring facilitates a simpler omni channel buying experience.
Benefit from Einstein AI to improve customer engagement and satisfaction. Infused with AI technology, Salesforce Commerce Cloud can transform customer insights into action. Reduce cart abandonments by connection customers with product recommendations that are tailored to them. Say goodbye to guesswork and create data-driven, personalized experiences for every customer.
Leverage Salesforce Order Management to deliver faster and more flexible solutions. Associates and customers alike benefit from simpler transaction flows for endless aisle and mixed cart orders while omni channel inventory management, returns, exchanges and fulfilment methods are made even more seamless.
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Using an integration with Salesforce Commerce Cloud, customers, store associates and customer support benefit from dedicated and connected experiences:
Customers can easily view store pick-up options on the product details page and at the cart level before placing an order. The customer will be notified in real-time when their order is ready for collection.
Associates can swiftly prepare, pick and pack orders with the information provided, including
item barcode, SKU or unique identifier, and item image.
Customer Support will have access to a dashboard to remotely edit, cancel or substitute orders. Store management and head office can easily glean insights into real-time performance and analytics.
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87% of retailers plan to integrate a mobile point of sale by 2021.
PredictSpring Modern POS software is here today and empowers your stores to:
Transact Securely and Reliably from Anywhere
Accept Cash, Cards, and Mobile Wallets
Sell Directly from Web and Store Inventories
Build Black Books and Enrich Customer Profiles
Seamlessly Handle Returns and Refunds
Manage Click & Collect Order Queues
Measure Store & Employee Performance in Real-Time
Continue Trading During Outages with Offline Mode
