Support
Support runs through a contact email listed on the site and a demo booking link for sales conversations. No help centre or documentation portal is linked from the homepage.
Learn moreAskflow
AI sales chat for eCommerce that recommends products and recovers carts
Beginner
What is Askflow?
Askflow is an AI chat platform for eCommerce stores, built around a product advisor that recommends items, upsells and cross-sells from cart context, recovers abandoned carts, and captures leads conversationally. Workflows are assembled in a no-code node builder, with A/B testing and privacy compliance built in.
Askflow is an AI agentic commerce platform built for online stores that want their website chat to sell rather than merely answer questions. The core product is an AI-powered product advisor that talks shoppers through what they are looking for in plain language, then recommends matching items. A shopper describing a cocktail party and a preference for something long and classy, for example, gets steered toward suitable outfits instead of being left to filter a catalogue. Recommendations are tailored by shopper behavior, current page, and traffic source, and the agent greets visitors with contextual prompts rather than a blank text box. Beyond product discovery, Askflow automates the revenue tasks that sit around the product page: upselling and cross-selling based on what is already in the basket or clearly missing from it, cart recovery triggered by exit intent, cart inactivity, or returning visitors, and loyalty outreach that greets known customers by name, history, or tier and surfaces rewards or early access. It also captures email addresses and phone numbers inside the conversation, on product pages and landing pages, without a form in the way. Setup runs through a no-code visual builder where AI agents appear as nodes and workflows are assembled by drag and drop. The feature list is aimed at operators rather than developers: commerce-specific AI intelligence, goal optimization that tunes campaigns toward business outcomes, A/B testing across branches or whole workflows, omnichannel steps that widen reach, and GDPR and privacy compliance built into campaign design. The site names LEGO and CrazyHippo as customers, with LEGO reporting a 20 percent conversion lift and a 17 percent drop in returns, and CrazyHippo crediting timely nudges for recovered carts. The final pitch is squarely Shopify. The fit is mid-market and enterprise eCommerce teams, particularly fashion and lifestyle brands with large catalogues where discovery is the bottleneck. Askflow is not a general chatbot builder: it competes with conversational commerce layers and cart recovery widgets rather than with support desk software. Pricing is not published on the homepage, and access runs through a demo booking rather than self-serve signup, so evaluation starts with a sales conversation.
How do you use Askflow?
1Book an intro call
Askflow starts with a demo rather than a signup form. Use the Get started or Book a demo button to schedule an intro call and confirm the platform fits your store before any build work begins.
2Map the sales moments you want covered
Decide which jobs the agent should own first: product discovery on category and product pages, basket add-ons, cart recovery, loyalty greetings, or lead capture. Each maps to a separate agent or workflow branch later.3Build the agent in the no-code node builder
Inside the product, assemble the workflow by dragging AI agent nodes onto the canvas and connecting them. Commerce-specific intelligence powers the recommendations, and triggers such as exit intent or cart inactivity define when a conversation starts.4Set goals and split-test the flow
Attach the business outcome you want, such as higher average order value or recovered carts, then use A/B testing to compare individual branches or whole workflows and keep the better performer.5Check privacy settings before launch
Review the GDPR and privacy compliance controls so the messages, offers, and data capture in the campaign meet the rules that apply to your market.6Track results and follow company updates
After launch, monitor conversion, returns, and basket size against your baseline. The blog carries product and commerce articles, and the contacts page lists how to reach the team.
Pros and cons
Pros
- Product advisor recommendations adapt to shopper behavior, current page, and traffic source rather than serving one static scriptAI
- Upsell and cart recovery are handled by the same agent, so discovery, basket growth, and re-engagement share one conversation layerAI
- No-code node builder with A/B testing across branches or full workflows lets non-technical teams iterate without developer timeAI
- Lead capture happens inside the chat with no form, triggered on product pages and landing pagesAI
- Named customer results on the site, including a reported 20 percent conversion lift and 17 percent reduction in returns at LEGOAI
Cons
- No pricing is published anywhere on the homepage, so budget fit cannot be assessed without a sales callAI
- Onboarding is demo-led through a booking link, with no self-serve signup to test the product independently firstAI
- The pitch is heavily Shopify focused, leaving stores on other commerce platforms unsure how much of the workflow appliesAI
- Few concrete integration names are listed, and omnichannel support is described only in general termsAI
- Some published feature descriptions appear mislabeled, such as the commerce intelligence blurb describing a drag-and-drop interface, which makes the true feature set harder to verifyAI
How much does Askflow cost?
Integrations
Omnichannel integrations are named as a feature, letting multiple channels feed into a single workflow. The homepage does not list specific platforms beyond a general focus on Shopify brands.
Features
A no-code visual builder where AI agents appear as nodes, commerce-specific AI intelligence for product recommendations, AI goal optimization that tunes campaigns toward business outcomes, A/B testing across branches and full workflows, omnichannel steps within workflows, and GDPR and privacy compliance. Agents handle product advising, upsell and cross-sell, cart recovery, loyalty outreach, and form-free lead capture.
Frequently asked questions about Askflow
How do you use Askflow?
The walkthrough on this page covers 6 steps: 1. Book an intro call 2. Map the sales moments you want covered 3. Build the agent in the no-code node builder 4. Set goals and split-test the flow 5. Check privacy settings before launch 6. Track results and follow company updates.What platforms does Askflow support?
Askflow is available on Web App.What does Askflow integrate with?
Omnichannel integrations are named as a feature, letting multiple channels feed into a single workflow. The homepage does not list specific platforms beyond a general focus on Shopify brands.What are the limitations of Askflow?
No pricing is published anywhere on the homepage, so budget fit cannot be assessed without a sales call. Onboarding is demo-led through a booking link, with no self-serve signup to test the product independently first. The pitch is heavily Shopify focused, leaving stores on other commerce platforms unsure how much of the workflow applies.
Status
StatusActive
Views0
Outbound clicks0
Added10/21/2026
Platforms
Web App
Pricing
Paid
