The Retail buyer Journey
Retail Use Cases
Brand Awareness and Launch Updates
Preemptively handling objections and responding to questions in the brand tone and brand voice. Enabling a digital-only launch or supplement an offline launch with a digital angle. Creative and interactive experiences that help consumers with product and brand awareness to lift brand consideration along with feature discovery through voice/text and AR & VR.
Product Catalogue, Evaluation and Initial Consideration
Acting as a personalized AI companion that accelerates the information gathering journey. Customized and personalized recommendations based on user preferences, cohort, and behavior. CRM enrichment. Automating data transfer to CRM for sales enablement and proactive nudges. Smartly using UGC, reviews and testimonials along with product comparisons to guide the user on the buying journey.
At scale, can handle an equivalent of all of the call center traffic with multi-lingual support. Extensive product cataloguing with connections with CMS to recommend products to users in real time. Real time customer cohort and ability to apply behavioural and conversational analytics. Real time lead qualification and prioritisation. Reduce live chat agents by up to 80%.
Re-Engagement during buyer journey
AI and NLP systems that constantly learns from customer conversations and nudges the user towards test drive booking using the most optimal path to closure. Uses lead scoring, cohort analysis and conversational insights to create context rich and personalized engagement triggers to nudge user in the buyer journey. Customized outbound workflows triggered at various points such as Add to Cart, browse and drop, page views etc.
3X lift in engagement with context relevance and personlisation. Improved product awareness. Automated workflows improve time to conversions - reduce add to cart churn. Multivariate testing to constantly learn and improve on workflows. Using brand and industry related data to enable competitive benchmarking around product specs, features etc to build trust and brand affinity.
Online Sales to Point of Sale Sync
Virtual assistants take call-back, visit or demo request online and schedule them without any human interference. Seamlessly mapping scheduled calls, visits and demos to the closest offline Point of sale - creates a swift customer to POS to HQ sync. Integrate Augmented Reality or Virtual Reality to make product views and tours possible from home comfort.
Hyper personalised incentives and offers
Promotional offers and discounts are customized - based on user preferences and intent. Incentivised offers and recommendations based on user conversations, cohort analysis, and customer context. Real time customized offers and discounts based on the customer profile, historical interactions and customer insights.
Up-selling and cross-selling
Up-selling and cross-selling complementary products, accessories and services to customers based on purchase patterns and user preferences. Using AI and Machine learning to predict affinity and propensity to purchase to drive higher customer LTV. Customize offers and discounts in real time.
Increasing LTV : Loyalty and Upgrade
Loyalty programs and information dissemination on points earned, offers, rewards etc. Share tips and tricks around product care, maintenance practices, offers, software updates. Post purchase product recommendations and upgrades.
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