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SayWhatt

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Revolutionize e-commerce with AI-driven, personalized sales chats.

freemium· from $99/mo· for mid-market

SayWhatt runs AI-led sales conversations on ecommerce storefronts, mimicking how a floor associate would guide a shopper toward a purchase. The platform tunes dialogue per brand, then uses session data to refine product recommendations and objection handling over time. Built for DTC and mid-market retail teams looking to lift conversion on high-consideration categories, it pairs the chat layer with analytics covering intent signals, drop-off points, and attributed revenue.

> pick this if

Pick this if you're a DTC or mid-market retailer in a high-consideration category where shoppers need guided questioning — not just search — to convert, and you want attribution data tied to each dialogue stage.

> look elsewhere if

Look elsewhere if you need deep CRM/helpdesk integrations, multilingual enterprise support coverage, or an MCP-ready agent that plugs into an existing AI orchestration stack — SayWhatt is sales-chat-first with a thin integration surface.

> SayWhatt is used by

  • PlayBetter
  • AHAVA
  • UK Pickleball Shop

> SayWhatt is built for

  • DTC beauty & cosmetics
  • sporting & outdoor
  • electronics & tech

> what it does for ecommerce

  • Runs guided sales dialogues modeled on in-store associate behavior
  • Trains conversation flows per brand voice and catalog nuances
  • Captures intent signals and surfaces them in analytics dashboards
  • Recommends products based on shopper responses, not browsing history alone
  • Reports attributed revenue and drop-off points per conversation stage

> how you'd use it

  • DTC skincare brand, $8–20M GMV, 3–6 person ecommerce team
    Deployed on PDPs for high-AOV regimen bundles where shoppers hesitate between formulations; the chat agent asks diagnostic questions (skin type, concern, current routine) and routes to a matched SKU
    → Lifts PDP-to-cart on guided sessions by 15–25% and produces an intent dataset the merch team uses to re-sequence category pages quarterly
  • Mid-market furniture or appliance retailer, $25–50M GMV, small CRO team of 2–4
    Replaces a generic support bot on high-consideration category pages (sofas, mattresses) where shoppers need sizing, material, and delivery answers before converting
    → Recovers abandoning sessions with objection-handling flows and attributes incremental revenue per conversation stage, giving CRO a clearer picture than scroll-depth heatmaps
  • Shopify Plus specialty retailer, $3–10M GMV, founder-led with 1–2 marketers
    Uses the freemium tier to pilot guided selling on a hero collection before rolling out brand-wide, tuning dialogue to match founder voice
    → Validates conversational commerce as a channel with attributed revenue data before committing to a larger martech line item

> SayWhatt use cases

> SayWhatt key features

  • AI & ML Powered Sales Conversations
  • Customized Solutions Per Brand
  • Data-Driven Action
  • Full Analytics & Insights

> alternatives to SayWhatt in our index

by shared use-case

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