Front vs Richpanel
Side-by-side trajectory, velocity, and editorial themes.
Front is rebuilding the shared inbox around AI agents and omnichannel reach.
Front is a team inbox that has pivoted its roadmap toward AI: Copilot/Autopilot replies, knowledge-source ingestion, and admin controls over what the AI can cite. Alongside that it keeps widening its integration surface—Salesforce, Asana, Zoom Contact Center, and a steady stream of third-party AI tools—so more channels and systems route through one workspace.
The direction is to make Front the front end for AI-assisted support across every channel, with admins given finer governance over what the AI knows and does. Recent work layers in file-based knowledge, fact invalidation, and ROI analytics for Autopilot—signs Front is moving from 'AI that drafts' toward 'AI teams can trust and measure.'
Expect the 'bring your own agent' survey and BYOA early access to harden into a shipped capability, letting customers plug external AI agents into Front's inbox and channels.
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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