Pre Sales
Brand Awareness and Launch Updates
How?
Building brand awareness, trust and brand equity to drive preference for the brand. Premptively handling objections and responding to questions in the brand tone and brand voice. Enabling a digital-only launch. Product discovery and awareness. Aiding feature discovery through voice/text and AR & VR. Understanding user conversations to create an effective launch strategy addressing user pain points.
Product Awareness and Lead qualification
How?
Assisting the buyer on a self learning journey for product awareness. A personalised AI companion, that accelerates the information gathering journey and guides user towards optimal path. Re-imagined catalog akin to a salesperson. Customized and personalized recommendations based on user preferences, cohort, and behavior. Lead Score calculation to prioritize buyers. CRM enrichment. Automating data transfer to CRM for sales enablement and dealership visits based on lead scoring.
Impact
At scale, can handle an equivalent of all of the call center traffic, with multi-lingual support. Real time lead qualification leading to faster turn around time on leads. 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%.
Personalised incentives and offers
How?
Promotional offers and discounts are customized - based on user preferences, conversations and intent. Incentivised offers and recommendations based on user conversations, cohort analysis, and customer context.
Test Drive Bookings
How?
AI push based, intent-sensing, test drive mechanism. 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.
Customer Onboarding
Real time test drive booking & dealership sync
How?
Virtual assistants take the request for test drives and schedule them without any human interference. Seamlessly mapping scheduled test drives to the closest dealership creates a swift customer to dealership to HQ sync.
Simplifying customer dealership conversations.
How?
Provides dealership information to the prospective customers. Enhanced understanding of challenges of dealership business like increased competition, vast data, and customer expectations by providing adequate customer support, focused regional marketing services. Omnichannel bots help to optimize all operations, from booking requests. Ease the documentation process by deploying techniques such as form parsing, table parsing, using an Auto ML model, multi-region support, and invoice parsing. Collection of documents required to enable sale or financing.
Personalised services and offers.
How?
Handle client requests for information and help them get more clarity on different offers and products available Chatbots assist customers in calculations related to vehicle loans, EMI's etc. Real time customized offers and discounts based on the customer profile, historical interactions and customer insights.
Impact
Predictive analytics engine enables intuitive customer conversations to keep users engaged - lifting response rates by 38-40% and quicker response times. Nudging the user at key intervention points during the decision making and buying process - sharing relevant information etc. Using brand and industry related data to enable competitive benchmarking around vehicle specs, features etc to build trust and brand affinity. Sharing key information to drive the prospect to quick closure.
Post-Sales
Post Sales Updates
How?
Automating critical information exchange around post sale services such as registration, delivery etc. Integrate payment links with conversation for quick payments of recurring services. Share brand-specific maintenance and repair-related information. Schedule reminders and maintenance pick-ups. . Provide roadside assistance to the customers - quick and real time. Help customers with the nearest charging station information based on the GPS location of the user.
Up-selling and cross-selling
How?
Up-selling and cross-selling parts, accessories and services to customers based on previous purchase patterns and user preferences. Using AI and Machine learning to predict affinity and propensity to purchase to drive higher customer LTV.
