Enterprise eCommerce Features
B2C or B2B, having an eCommerce website has become an irrefutable part of doing business. Core modules inherent to an eCommerce system include:
Accounts and membership
Pricing and tax calculator
Discounts and coupons
Reviews and rating
To meet the challenges of enterprise commerce, your eCommerce solution will also need to support features such as omnichannel retailing, advanced analytics, and artificial intelligence.
Multi-Country, Multi-Language, Multi-Brand
When selling internationally, you may want your system to support multiple storefronts, each with its own local currency and language preference. Multi-store functionality allows you to have different stock in different markets. You can tailor promotions and product upselling for each store and manage targeted selling to diverse markets. To ensure the best performance in every region, the stores can be hosted on location-specific servers. Direct integration with international warehouses and shipping carriers is also essential for successful global eCommerce.
Your physical stores need to be linked with your online channels so customers can order anywhere and collect the goods anywhere. True omnichannel refers to providing shoppers a unified experience across the various channels. Multi-channel listings, POS integrations, automatic syncing of inventory and order in real-time across channels, IoT devices, and integrated marketing contribute to creating such a continuous customer journey. A mobile-first approach to eCommerce development along with smart use of beacons or RFID technology for proximity marketing can help you to effectively connect with your on-the-go customers.
Customer service expectations have grown tremendously with the advancements in big data processing and machine intelligence. Artificial intelligence is being used to enhance the user experience and boost sales. Bots built with machine learning and natural language processing capabilities can hold contextual chat conversations with customers. You can integrate these trained robots to offer round-the-clock support to website users or engage your customers on other digital platforms. Virtual shopping assistants can also be employed to augment the in-store experience.
An omni-channel commerce solution needs to be integrated with all of the enterprise systems such as ERP, CRM, and BI. Integrations consolidating data from in-store, email, social network, mobile app, IoT, and website channels make the experience richer, smoother, and consistent for the user. A modular, loosely-coupled architecture provides greater flexibility and eases the integration with legacy systems.
A personalized search that will add recommendations based on user preferences can woo consumers away from your competition. The standard catalog search API can be optimized using machine learning algorithms to provide results based on user preferences. The recommendation engine can be tuned to consider latest stock availability in addition to previous purchase patterns, wishlists, product ratings, and profile preferences.