nular gives you three collaborating agents:
Turn every support conversation into actionable growth data. Identify common friction points, emerging needs and moments where buyers hesitate or abandon. The agent continuously extracts patterns from real user messages, transforming them into conversion insights your team can use to refine copy and design.
A user looks for a product they had saved as a favorite, but when they open it they see it's no longer available and there are no suggested alternatives. They feel the platform doesn't understand their purchase intent.
A user wants to filter products by material, but when they apply the filter the page automatically jumps back to the top without showing whether it was activated. The weak visual feedback leaves them uncertain about what they're looking at.
The agent reviews every conversation in real time, spots patterns and translates them into specific actions you can take. It doesn't just surface insights; it connects the dots, prioritizes what matters and proposes concrete changes you can implement, so your team is always iterating and improving without needing to hunt for opportunities.
Based on 47 conversations where users expressed frustration over unavailable favorites, implement a "Notify me when back in stock" button on out-of-stock product pages. This retains purchase intent and creates a re-engagement touchpoint.
Users apply filters but can't confirm they're active. Recommendation: make the filter bar sticky on scroll and add a visible badge showing "3 filters applied" with a clear "Reset all" option.
By continuously reviewing messages, the agent identifies signals like errors, outages, friction, or unexpected behavior and sends notifications in real time to Slack or Teams, including conversation evidence and urgency level. This ensures issues are addressed the moment they appear, cutting response time and preventing lost conversions caused by broken experiences.
The agent interprets user intent, context and explicit preferences inside support conversations to suggest relevant products automatically. When recommending products, it reduces decision paralysis by offering clear, tailored options.
Sneaker advisor
Perfect! If you prefer performance shoes built for speed and everyday comfort, let me break it down: modern athletic sneakers deliver distinct benefits depending on how you use them—court, track, gym or casual runs all shift the experience. For instance, the Nike Air Zoom Pegasus 40 offers a responsive ride with excellent energy return, especially noticeable during longer road runs. Its engineered mesh upper balances breathability and support, while the Zoom Air unit adds spring without feeling unstable. The Adidas Ultraboost 22 has a soft, cushioned profile. It's ideal if you want a forgiving training shoe that absorbs impact well, with no harsh transitions or excessive stiffness. The Boost midsole shines for comfort over pure explosiveness, making it strong for daily mileage and lifestyle wear. Want to dive deeper into any of these picks, or do you need recommendations for a different sport or surface? 👟
Detects lead signals in conversations and stores qualified leads in the CRM for sales follow-up.
Escalates inquiries to a human advisor when appropriate. High-stakes requests are routed to a specialist at the right moment.
Handles complaints with empathy and organizes them into a queue for human review and resolution.