Beacon proximity push notifications based on:
* Product search/browse data from CXA will drive proximity push notifications.
* Let customer know that a product they browsed or added to cart is available and help them find it in the store.
* WMI - Identify high value customers in the store, predict trends and recommend promotions.
* Promote products to proximity customers based on current or future weather conditions - discounts on umbrellas, rain coats, gloves, hats.
* Geo location, track customer behavior/interests in the store.
* Example: A customer spends 10 minutes looking at coffee makers. Send that user a promotion related to a coffee maker or coffee related products.
* Based on previous purchases, recommend and help customer find add-ons or commonly purchased with items.
* Customer struggle, if a customer spends longer than usual time in an area send a representative or offer assistance.
* Blue Light Special - use Watson to identify products that multiple in proximity customers would be interested in and promote the in store only sale.
Re-engage customers based on beacon geo location data collected in store:
* If someone spent 10 minutes looking at coffee makers and did not purchase.
* Send email or push notification with discounts for in store, online, free shipping, in store pickup.
Store heat mapping:
* Product placement
* Cashiers
* Security
What is your industry? | Retail |
What is the idea priority? | Low |