SayWhatt

SayWhatt is a cutting-edge platform that replicates the experience of an in-store sales representative in the digital world. Designed specifically for e-commerce businesses, it employs advanced AI and machine learning to initiate natural, personalized sales conversations that guide online shoppers, answer product questions, and drive higher conversion rates. By mirroring the brand’s tone, product knowledge, and sales methods, SayWhatt makes every online interaction feel like a one-on-one consultation, helping stores build trust and close more sales without increasing headcount.

• AI & ML Powered Sales Conversations: Engages customers with human-like, in-depth sales discussions that dynamically adapt to shopper behavior and intent in real time.
• Customized Solutions Per Brand: The system is trained on each brand’s unique sales methodologies, values, and team knowledge to ensure consistent, on-brand dialogues.
• Data-Driven Action: Machine learning continuously analyzes conversation data to refine messaging, recommend products, and optimize sales strategies automatically.
• Full Analytics & Insights: Delivers detailed dashboards covering sales performance, customer behavior, marketing impact, and product trends to guide business decisions.
• Real-Time Customer Service: Offers instant, accurate responses that reduce the load on human support teams while guiding shoppers toward purchase-ready decisions.
• Seamless E-commerce Integrations: Works out-of-the-box with major platforms like Shopify and Magento, plus connects to popular CRM and analytics tools.
• Scalable Sales Force: Enables brands to expand conversational sales capacity without the cost of hiring additional representatives.

1. Sign Up and Onboard: Create an account on the SayWhatt website and choose a plan that fits your business. The onboarding wizard will guide you through initial configuration.
2. Connect Your E-commerce Platform: Integrate SayWhatt with your Shopify, Magento, or other supported store via the provided plugins or API keys to sync product catalogs and customer data.
3. Train the AI with Brand Knowledge: Upload your sales playbooks, product FAQs, brand voice guidelines, and historical chat logs so the AI learns how your team sells.
4. Customize Conversation Flows: Use the visual builder to design greeting messages, product recommendation logic, and escalation rules that match your desired customer journey.
5. Test and Launch: Run simulations or a limited test on your store, review the AI’s performance, tweak responses, then activate the sales assistant for live visitors.
6. Monitor and Optimize: Regularly check the analytics dashboard to see conversation metrics, identify drop-off points, and refine the AI’s behavior based on real-world data.

SayWhatt offers tiered pricing designed to accommodate businesses of different sizes and needs. A Free Tier provides basic access with limited features, suitable for testing the core sales assistant. The Pro Tier, starting at approximately $99 per month, unlocks advanced customization, deeper analytics, and priority support. For high-volume or enterprise requirements, custom plans are typically available with tailored features and dedicated onboarding. Because pricing may vary by region or promotional offers, always check the official SayWhatt website for the most accurate and current details.

• Web Application: Access all dashboards, conversation builders, and analytics through a browser-based SaaS platform.
• E-commerce Plugins: Native integrations for Shopify, Magento, and other popular platforms make installation simple without coding.
• API Access: Offers a REST API for custom integrations, allowing developers to embed SayWhatt into bespoke storefronts or mobile apps.
• CRM & Analytics Connectors: Pre-built connectors to major CRM systems and analytics tools for synchronizing customer data and insights.

• Feed high-quality, comprehensive training data: The more accurate and detailed your brand’s product info, sales scripts, and Q&A pairs, the better the AI performs.
• Start with a pilot on a specific product line: Test and optimize the assistant’s conversations on a limited segment before rolling out store-wide.
• Regularly review conversation logs: Spot where shoppers get confused or drop off, then update the AI responses to close those gaps.
• Use A/B testing for messaging: Experiment with different greetings, product recommendation strategies, and tone to see what maximizes conversions.
• Integrate with your CRM and analytics stack early: This gives you a unified view of the customer journey and helps attribute sales lift to the AI assistant.
• Update the AI seasonally or for promotions: Keep the assistant aligned with holiday campaigns, new product launches, and changing inventory to stay relevant.

• E-commerce store owners: Those looking to replicate the personal touch of physical retail and boost online conversion rates without scaling human support teams.
• Digital marketing agencies: Teams that manage client online stores and want to add AI-driven sales engagement as a service offering.
• Retail operations managers: Professionals who need deep insight into shopper intent and behavior to align online strategies with in-store experiences.
• E-commerce platform developers and integrators: Developers building custom storefronts who need a plug-and-play intelligent sales layer.
• Mid-size to enterprise DTC brands: Companies that handle high volumes of traffic and want to convert more browsers into buyers through personalized guidance.
• Startups seeking a cost-effective sales edge: Small e-commerce teams that cannot afford a large sales staff but want to deliver premium, high-touch shopping experiences from day one.