Gladly AI
The only AI built for LTV
Overview
Gladly stands out from typical deflection-first support bots by explicitly optimizing for customer lifetime value: the goal is to engage shoppers in a way that drives repeat purchases, not just close tickets fast. Retail and hospitality brands that already think of support as a revenue channel (not just a cost center) are the best fit, and the platform's reported numbers — 76% of conversations fully AI-resolved, 2.2x revenue per conversation — reflect that positioning.
The tradeoff is that Gladly is squarely an enterprise sale: no public pricing, a demo-first funnel, and a setup process (Guides, catalog integration, channel unification) that takes real onboarding time. Smaller teams wanting a fast, self-serve chatbot may find lighter-weight tools like Intercom Fin or Yuma AI quicker to stand up, but they won't get Gladly's unified customer-history model.
Key Features
Unified Customer Timeline: keeps full conversation history across voice, chat, SMS, email, and social in one continuous thread per customer.
Autonomous AI Resolution: AI can independently resolve issues or hand off seamlessly to a human agent mid-conversation.
Guides: plain-English instructions that let teams shape brand voice and AI behavior without code.
Product Catalog Integration: connects to e-commerce catalogs so AI can answer product-specific questions and drive upsell.
Customer Intelligence: surfaces sentiment and emotional cues to prioritize and personalize responses.
Real-Time Agent Assist: gives human agents live suggestions and context while handling escalations.
Pricing
Starting price
Custom pricing only, contact sales
Custom Enterprise Plans: Gladly does not publish pricing; all plans are quoted after a live demo based on channel mix, conversation volume, and integrations needed.
Disclaimer: pricing may change, confirm on Gladly's own pricing page before buying.
Pros
Revenue-Focused AI: designed around lifetime value and upsell, not just ticket deflection.
True Omnichannel History: one customer timeline across every channel avoids repeat-yourself frustration.
Proven Enterprise Retail Base: strong track record with recognizable retail and hospitality brands.
No-Code Behavior Tuning: Guides let non-technical teams adjust AI tone and rules directly.
Cons
No Public Pricing: every deal requires a sales demo, making budget comparison hard upfront.
Enterprise Onboarding Effort: catalog integration and channel setup take meaningful implementation time.
Retail-Centric Design: feature set is most optimized for e-commerce/hospitality; less obviously suited to B2B or SaaS support.
What Makes It Unique
LTV-First Positioning: unlike most support AI tools that market cost savings, Gladly frames its entire product around growing customer lifetime value and revenue per conversation.
Kay Score
7.4
/ 10
