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
ReclamarLimeChat is an enterprise AI agent platform for WhatsApp, chat, and voice, automating marketing and support workflows with custom pricing and integrations.
What LimeChat is
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.
Core capabilities
Prebuilt journey automation
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.
Chat and voice AI agents
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.
Visual agent studio
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.
WhatsApp-first engagement
Connect WhatsApp campaigns and customer data into live conversations. The homepage describes 2-way broadcasts, CTWA flows, segmentation, and in-chat checkout.
Analytics and reporting
Track performance with conversational analytics, support efficiency, bot performance, CSAT, and revenue metrics. The pricing page frames reporting around both growth and support outcomes.
Where LimeChat fits
eCommerce growth and retention
Use the marketing suite to automate abandoned checkout recovery, reorder reminders, COD verification, and broadcast campaigns that feed directly into live conversations.
Customer support operations
Use the support suite for order tracking, refunds, cancellations, payment issues, and account support, with human handoff when the AI cannot resolve a case.
BFSI service workflows
Apply chat and voice agents to BFSI workflows such as loan-status updates, document collection, EMI queries, and KYC-related conversations.
Bookings and lead qualification
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.
Connected customer journeys
Connect existing store, CRM, payment, and logistics data so customer interactions use current context instead of starting from scratch in each conversation.
Pros and Cons
Pros
- Covers both marketing automation and support automation in one platform.
- Supports chat and voice, including WhatsApp-based experiences.
- Offers fast implementation guidance, with a stated go-live window of 1–3 weeks on the pricing page.
- Includes workflow design, testing, handoff, and analytics rather than just a simple chatbot builder.
- Provides multilingual support and enterprise-focused onboarding and support.
Cons
- Pricing is customized, so buyers need a sales conversation to understand total cost.
- The source material is stronger on WhatsApp and commerce workflows than on the full technical details of every integration and deployment path.
FAQ
How is LimeChat priced?
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.
How long does implementation take?
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.
What kinds of teams use LimeChat?
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.
What does LimeChat integrate with?
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.
Does LimeChat support multilingual conversations?
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.
Quick Facts
- Category
- Enterprise AI agents
- Primary channels
- WhatsApp, chat, and voice
- Pricing model
- Custom pricing by suite, volume, and automation tier
- Implementation
- Typically 1–3 weeks on the pricing page; about 2 weeks on the homepage
- Integrations
- eCommerce platforms, CRMs, logistics, returns, and related stack tools
- Source domain
- limechat.ai