shoppa vs Preezie for Australian Stores 2026

For shoppa vs Preezie, choose shoppa when your customers want to ask specific questions and buy in the same chat. Choose Preezie Journeys when your range suits a structured finder and your merchandisers want to set the questions customers answer.

shoppa is an AI shopping agent you add to your site with two lines of code. Customers find and compare products, pay in the chat and return for order support. It uses your catalogue and store documents, and remembers earlier requirements when customers refine their search.

Preezie also has an AI shopping assistant with open chat. Its guided finder and AI assistant are different experiences, so the choice includes which Preezie product you need. For other named tools, browse the shopping agent comparisons.

What Preezie Does

Preezie is an Australian shopping platform with guided selling and AI shopping assistance. Its Journeys product uses interactive questions and matching logic to recommend products. Retailers can design the finder, map their product feed and capture customer answers for marketing.

Preezie’s AI shopping assistant supports natural-language search and product recommendations. Its product pages also describe sizing advice, product comparisons and direct add-to-cart. The current platform includes order-status help and handover to your team.

For a merchandising manager, Journeys gives a defined path through a category. The AI assistant handles customers who want to describe their needs in their own words. Treat a proposal for one as a proposal for that experience, rather than assuming every Preezie capability comes with the finder.

Decision	shoppa	Preezie
Customer input	Open conversation with remembered requirements	Structured questions in Journeys, open chat in the AI assistant
Product choice	Search and comparisons from your catalogue	Finder matching or AI recommendations
Purchase	Basket and payment inside the chat	Direct add-to-cart described on product pages
After-sale help	Order status, returns and human handover	AI platform describes order status and live chat handover
Merchandising work	Connect catalogue and documents, edit agent settings	Design finder questions and matching logic, or configure the AI assistant

Guided Questions Compared With Open Chat

A guided finder sets the sequence. Open chat lets the customer choose where to start and what to ask next. A customer who doesn’t know which attributes matter can benefit from the finder’s prompts. Someone with a detailed requirement can put those details into a message.

Consider an illustrative customer shopping for a mattress for a couple. A structured finder can begin by asking who will use it, then ask about firmness and budget before displaying matches. The customer selects from the answers the retailer has provided.

With shoppa, the same customer can ask, ‘We need a queen mattress with less partner disturbance. Which of these feels firmer?’ The agent searches your range and compares relevant product attributes. The customer can then ask for cheaper options without restating the whole request.

Preezie’s AI assistant can also accept a free-text request, so open chat alone doesn’t separate shoppa from the whole Preezie platform.

For the method behind a finder, read how guided selling works. The decision here is whether a defined path or a continuing conversation fits your customers’ questions.

From Recommendation to Order

shoppa carries product discovery through to payment in the conversation. Customers can compare a shortlist, add their choice to the basket and pay without leaving the chat. They can later check an order by order number, start a return or ask for a person.

Preezie’s Journeys page describes direct add-to-cart from its quiz recommendations. Its AI assistant pricing page also lists direct add-to-cart. A product-page link takes the customer to the item’s details, while adding to cart puts the item in the store’s basket. Neither action, by itself, means payment happens in the conversation.

Preezie’s homepage describes order-status integration and live chat handover. Its assistant therefore covers after-sale questions as well as discovery. For shoppa, ordering and returns are part of the same chat customers use to choose products.

Setup Effort and Merchandising Control

Both products need useful product data. A finder adds work to decide which questions appear and how the answers affect the matches. That work is useful when your merchandisers have a clear category-specific buying path.

Preezie describes feed mapping and recommendation scoring for Journeys, with support to develop and style the finder. Its terms also name product priority and ranking information among the data retailers can supply. Journeys is the stronger fit when you want explicit control of each question and its place in the flow.

shoppa connects your catalogue feed and store documents through your workspace. You edit agent settings, test changes privately and publish them for the next message. Version history and rollback let you reverse a change. Native platform apps or the two-line embed put the agent on your site.

The control differs in emphasis. Journeys controls the sequence customers follow. shoppa gives you control of the product information and advice the conversation uses, while customers steer the questions. Read how AI product recommendations work for the role of catalogue attributes in either approach.

Pricing and Data Ownership

Preezie quotes its pricing on request. Its AI assistant pricing page lists a monthly platform package, with usage based on customer messages and product updates. Your comparison must cover the finder or assistant you intend to buy, including implementation and ongoing support.

shoppa has per-session and per-token pricing. Per session makes costs predictable as traffic grows. Per token charges for what the agent uses. shoppa also has a free trial. You can get a quote for your store’s requirements.

Customer answers and customer ownership need separate attention. Preezie says Journeys can connect answers to a customer profile in your marketing system. Preezie also holds and processes information from its services. Its privacy policy permits AI interaction data to be used to train and improve its technology.

Preezie’s terms grant it rights to use client data for AI development and say it owns the AI-generated content and insights. Access to answers in your marketing system therefore doesn’t mean exclusive control over every use of those answers.

shoppa runs on your site in your brand. The conversation and customer relationship stay with your store, and your workspace shows a trace of each conversation. That describes how you run the agent. It doesn’t make a separate promise about hosting location or retention periods.

Choose shoppa or Preezie

Choose shoppa when shoppers arrive with specific questions and you want them to order in the chat. It suits customers who refine a search, compare products and ask policy questions before paying. Your catalogue and documents supply the answers, and your team can edit and roll back the agent’s settings.

Choose Preezie when your range suits a structured finder and you want tight control of each step. Its Journeys product fits categories where a deliberate sequence helps customers express their preferences. Preezie’s AI assistant is also an option when you want conversational assistance from the same platform.

If you’re replacing an existing finder, the Preezie alternatives comparison explains other options by the reason for switching.