Sales and Customer Experience AutomationsPurpose
1.2. Enhance customer engagement across email, SMS, app, and web channels using automation and recommendation engines.
1.3. Analyze SKU-level purchase trends and segmentation to support cross-sell and up-sell initiatives in American grocery retail.
1.4. Reduce churn by targeting dormant or one-time shoppers with relevant suggestions automatically.
Trigger Conditions
2.2. Customer profile update in CRM or loyalty system.
2.3. Scheduled interval (e.g., weekly) for all customers with historical transactions.
2.4. Customer inactivity for a predefined period (e.g., 30 days) triggers win-back recommendations.
Platform Variants
3.1. Salesforce Commerce Cloud
• Feature/Setting: Einstein Product Recommendations API — configure automated triggers post-purchase; map product catalog and match logic.
3.2. Adobe Campaign
• Feature/Setting: Dynamic Content personalization rule — create data-driven content block sourcing SKUs from purchase data.
3.3. Shopify
• Feature/Setting: Product Recommendations API — auto-invite related products in order confirmation and marketing emails.
3.4. HubSpot
• Feature/Setting: Workflow triggered by e-commerce property change — send personalized emails with recommended products.
3.5. Klaviyo
• Feature/Setting: Conditional flows based on event “Placed Order” — fetch and insert top related items in post-purchase flows.
3.6. Mailchimp
• Feature/Setting: Product Retargeting Email — use segment based on purchase history and automate send.
3.7. Segment
• Feature/Setting: Identify and Track calls — build audiences using purchase traits, trigger webhook to downstream systems.
3.8. Twilio SMS
• Feature/Setting: Programmable Messaging with dynamic templates — auto-inform customer of suggestions via SMS.
3.9. Google Cloud Recommendations AI
• Feature/Setting: predict() API — provide context-aware, algorithmic recommendations for display or notification.
3.10. Zendesk
• Feature/Setting: Triggers with custom fields — send recommended American products in support ticket responses.
3.11. WooCommerce
• Feature/Setting: Personalized Products for WooCommerce plugin — auto-inject suggestions in order complete emails.
3.12. Magento
• Feature/Setting: Product Recommendation Rules — backend rules for “customers who bought X, also like Y.”
3.13. SAP Commerce Cloud
• Feature/Setting: SmartEdit personalization module — embed recommended products into digital storefront dynamically.
3.14. Dynamics 365 Marketing
• Feature/Setting: Event-triggered journeys — propose product bundles via email/SMS after purchase events.
3.15. Yotpo
• Feature/Setting: SMS & Email product recommendation flows — set triggers on review or loyalty points activity.
3.16. Iterable
• Feature/Setting: CustomEvents + Catalog API — insert best-matched products into omni-channel campaigns.
3.17. Blueshift
• Feature/Setting: Segment-triggered product recommendation blocks — auto-email based on last purchased item.
3.18. Bloomreach
• Feature/Setting: Content Recommendations API — recommend based on category affinity after each transaction.
3.19. Braze
• Feature/Setting: Connected Content personalization — pull product recs from server on sends post-purchase.
3.20. Emarsys
• Feature/Setting: Predict product recommendations — display in app notifications and emails for grocery customers.
3.21. ActiveCampaign
• Feature/Setting: Automations with e-commerce integration — trigger product recommendation emails upon order completion.
3.22. Intercom
• Feature/Setting: Custom bot triggers — recommend products in chat based on order history event.
Benefits
4.2. Reduced churn by engaging inactive customers with personalized suggestions.
4.3. Higher conversion rates on campaigns targeting most likely-to-buy products.
4.4. Reduced manual segmentation and campaign building via full automation.
4.5. Consistent multi-channel engagement maintaining brand relevance.