Marketing and support suites
Build AI agents for marketing growth or customer support, with separate suites for each objective. The pricing page groups capabilities into a WA Marketing & AI Growth Suite and an AI Support Suite.
LimeChat è una piattaforma enterprise di agenti AI per WhatsApp, chat e voce che automatizza marketing e assistenza.
LimeChat is an enterprise AI agent platform for WhatsApp, chat, and voice. It is positioned for teams that want to automate customer journeys across marketing, support, bookings, and renewals without building everything from scratch.
The product splits into marketing and support suites and emphasizes business-owned workflows, visual configuration, and fast deployment. The site says brands can go live in about 2 weeks, with onboarding support, live testing, and agent training included in the implementation process.
LimeChat also highlights WhatsApp-native delivery, unified human handoff, multilingual conversations, and integrations with eCommerce platforms, CRMs, logistics, and returns tools. The result is a system for running customer conversations that can both automate routine tasks and route complex cases to humans with context.
Build AI agents for marketing growth or customer support, with separate suites for each objective. The pricing page groups capabilities into a WA Marketing & AI Growth Suite and an AI Support Suite.
Run automated customer journeys such as abandoned checkout recovery, reorder reminders, COD verification, order tracking, refunds, loan-status checks, and KYC-related flows. These workflows are shown on the pricing page as packaged journeys.
Use AI agents on chat and voice, including tiered options from simpler flows to deeper LLM- and SOP-powered behavior. The product pages also mention hybrid LLM plus brand SOP logic.
Design and update workflows in a visual Agent Studio without relying on a developer queue. The homepage says CX, product, and ops teams can build, test, and ship changes directly.
Connect WhatsApp campaigns and customer data into live conversations. The homepage describes 2-way broadcasts, CTWA flows, segmentation, and in-chat checkout.
Track performance with conversational analytics, support efficiency, bot performance, CSAT, and revenue metrics. The pricing page frames reporting around both growth and support outcomes.
Use the marketing suite to automate abandoned checkout recovery, reorder reminders, COD verification, and broadcast campaigns that feed directly into live conversations.
Use the support suite for order tracking, refunds, cancellations, payment issues, and account support, with human handoff when the AI cannot resolve a case.
Apply chat and voice agents to BFSI workflows such as loan-status updates, document collection, EMI queries, and KYC-related conversations.
Use WhatsApp and voice to handle bookings, renewals, test-drive requests, and other qualification flows where a faster response can move a customer to the next step.
Connect existing store, CRM, payment, and logistics data so customer interactions use current context instead of starting from scratch in each conversation.
LimeChat provides personalized pricing based on the selected suite, conversation volume, and AI automation tier. The pricing page also says add-ons can be mixed and matched, and sales can tailor a plan to business size, vertical, and volume.
The pricing page says most brands go live in 1–3 weeks, while the homepage describes deployment in about 2 weeks. The exact timeline depends on setup, live testing, and agent training.
The homepage says LimeChat is built for enterprise use across chat and voice on WhatsApp, and the pricing page groups the product into marketing and support suites. It also supports use cases for eCommerce, BFSI, and service workflows.
The pricing page says LimeChat integrates with eCommerce platforms, CRMs, logistics, and returns partners. The homepage also says the platform can be connected to existing stacks without changing current workflows.
LimeChat says it supports over 20 languages on the pricing page, and the homepage says it offers native voice and chat support in 11 Indian languages. The exact language mix may depend on the deployment.
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