Tiledesk vs Richpanel
Side-by-side trajectory, velocity, and editorial themes.
Tiledesk's feed is agentic-AI thought leadership, not release notes
The tracked feed is Tiledesk's blog, heavy on agentic-AI explainers — MCP-driven agents, self-learning support, and hybrid-search RAG. Entries read as marketing and architecture write-ups, not changelog releases, so the shipped-product state isn't directly observable. Tiledesk positions as an open-source, AI-agent customer-support platform.
Recent posts push an ecommerce AI sales advisor and MCP-based agents that take actions, suggesting Tiledesk is marketing toward agents that act rather than only answer. Publishing is irregular — a July post follows a months-long gap — so this reads as sporadic content, not a steady release cadence.
The messaging points toward more agentic, action-oriented and ecommerce use cases, but the actual product roadmap isn't visible until a real changelog feed replaces the blog source.
Richpanel is folding the ecommerce support stack into one inbox, integration by integration
Richpanel is a support inbox for ecommerce brands, and nearly every recent release adds another external system to it: phone (RingCentral, JustCall), SMS (Klaviyo), post-purchase ops (AfterShip tracking, returns, warranty), and order platforms (SellerCloud, BigCommerce). The consistent design is that each system's data and actions land on the customer conversation, so agents resolve issues without leaving the ticket. SLA Management is the rare non-integration release, adding response and resolution tracking.
The bet is breadth: become the single console where an agent sees and acts on every downstream system — call recordings, warranty claims, return labels, order replacements — with no tab-switching. AfterShip Tracking hints at a second layer, feeding that live operational data to Richpanel's AI agent so it can answer 'where's my order?' on its own. Depth in any one integration matters less right now than covering the whole ecommerce stack.
Expect the integration cadence to continue — more phone, shipping, and marketplace connectors — with growing emphasis on letting the AI agent read and act on that integrated data, not just surface it to human agents.
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