QSR – Algorithmic Customer Experience & Operational Excellence
Mobile apps are the new storefronts for QSRs. Real-time Personalization is the key ingredient to provide a differentiated experience that sets you apart.
Capture explicit preferences effortlessly and drive loyalty
Looking to replicate store-like personalized experiences to online commerce? It’s a must in high involvement purchases, such as beauty and personal care. Here’s an example of how you can capture critical customer preferences to recommend highly relevant products and keep them coming back for more.
Shop Direct – Product Recommendations
Hi I’m Catherine Jones I’m search and navigation manager for Shop Direct. My team is responsible for getting the customer to the product that they’re looking for, whether that’s through search, navigation, or product recommendations.
Leverage auto-replenishment for routine purchases
Shoppers need certain products at regular intervals – makeup wipes, stationary, eggs, and milk. With AI, you can identify not just the right items for every individual, but also their purchase frequency. Watch how you can use this to grow average order value.
Simplify buying by building the cart faster with associated products
Online grocery best practices: reduce number of clicks to get to cart, ease shopper’s purchase experiece with ‘buy the recipe’ in one click!
Enable seamless shopping and product discovery
Online grocery retail has its own challenges, as customers behave differently from other verticals. Here’s how can you reduce friction, and help customers find what they are looking for with e-commerce search.
Personalize for new and anonymous shoppers
When a shopper comes to your website for the first-time, how can you start personalizing her experience even if you don’t have any past data to leverage.
Maximize customer lifetime value with loyalty program and personalization across the lifecycle
Right from the time an individual lands on the website for the first time, you can start personalizing to help exploration, build conviction, and drive cross-sell. You can also incentivize them to enroll in the loyalty program, and move up loyalty tiers – all with the objective of maximizing lifetime value, beyond the current purchase.
Surface new and unique products that match customer preferences
It’s common to have certain new or long-tail products in your catalog never show up in recommendations. With natural language processing (NLP), we flip how recommendations work! Product descriptions are used to form associations between products, rather than past purchases, so you fill recommendation gaps and improve conversions.
Create personalized bundles with advanced merchandising
As customers search, browse and add products to their cart, real-time behavior can be used to provide AI driven cross-category product recommendations and automated bundling. Commonly used to build conviction, drive cross-sell and upsell, while reducing the burden on manual merchandising.