The customer journey
How AnyCart works
01A customer starts a conversation
A shopper speaks to AnyCart through a channel enabled for the store, such as web chat, WhatsApp or Telegram. They can ask for a product, describe a need, compare options or ask for guidance.
02AnyCart identifies purchase intent
AnyCart considers the request, conversation context, preferences and constraints. These may include product type, intended use, size, colour, style, budget, brand preference or availability.
03Your store information is consulted
AnyCart searches the connected Shopify catalogue and approved merchant information, which may include policies, buying guides, manuals, lookbooks or specialist guidance.
04Suitable products are matched
AnyCart searches the connected catalogue and presents products that suit the shopper’s request. The shopper can explore the recommendations, ask another question or move towards a purchase.
05The shopper moves towards checkout
Where appropriate, AnyCart can help select products, build a cart and present a link to the merchant’s existing Shopify checkout. Shopify and the merchant’s payment provider handle payment.
06Commerce signals are recorded
As the shopper moves through the journey, AnyCart records the important stages—from the first conversation and product match through to cart creation, checkout and a completed order. These signals help merchants understand what shoppers want, where journeys progress and where customers encounter friction.
Where Shopify order data can be connected to the AnyCart journey, the paid order may be attributed to AnyCart. Attribution shows that AnyCart participated in the journey; it does not prove the sale would not have happened without AnyCart.
Merchant configuration
How your assistant is customised
AnyCart is configured around each merchant’s business rather than applying the same generic shopping assistant to every store.
01Identity
The merchant approves the assistant’s name, role, voice and personality.
02Focus
The assistant can be guided towards particular categories, products, customer needs or commercial priorities.
03Knowledge
Approved information can be used alongside the connected catalogue, including store policies, specialist guides, manuals and lookbooks.
04Rules
Merchants can approve rules covering exclusions, claims, promotions, recovery, escalation, channels and when not to recommend.
To update this configuration, contact AnyCart. We’ll apply the changes you approve.
Evidence and interpretation
How conversations become insight
Every dashboard measure begins with something that happened during a shopper conversation. Some measures record a clear action, while others help identify what shoppers want or connect the conversation to a later Shopify sale.
Recorded actions
Things that happened during the journey, such as a conversation beginning, a cart being created or a checkout link being presented.
Shopper signals
Patterns in the conversation that reveal purchase interest, product preferences or demand the available catalogue could not meet.
Completed outcomes
Paid Shopify orders that can be reliably attributed to an AnyCart-assisted journey.
Estimates
Directional figures that help identify the possible value of an opportunity or journey drop-off.
The dashboard uses the date range you select. Each journey remains connected to the conversation in which it began, even when the shopper reaches a later stage afterwards.
Where a comparison is shown, the selected period is compared with the immediately preceding period of the same length.
Metric definitions
Understanding your dashboard
A single shopper may have more than one conversation. Journey stages count qualifying conversations rather than unique customers.
Shopper conversations
Recorded actions
- What it shows
The number of AnyCart conversations that began during the selected period.
- How to read it
This shows how often shoppers engaged with AnyCart. A shopper may begin more than one conversation.
Purchase-intent conversations
Shopper signals
- What it shows
Conversations in which the shopper showed meaningful interest in finding or buying a product. This includes asking for a product that meets particular requirements, comparing suitable options, selecting a product or moving towards a cart.
- How to read it
This helps distinguish casual enquiries from conversations with a stronger commercial signal.
Conversations with a product match
Recorded actions
- What it shows
Conversations in which AnyCart found at least one suitable product in the connected catalogue.
- How to read it
This shows how often AnyCart could respond to a shopper’s request with a suitable recommendation. It counts conversations with a match rather than the total number of individual products returned.
Carts created
Recorded actions
- What it shows
Conversations in which AnyCart created or updated a Shopify cart for the shopper.
- How to read it
This shows how many conversations progressed from product discovery into an active shopping journey.
Checkouts served
Recorded actions
- What it shows
Conversations in which AnyCart presented the shopper with a link to the store’s Shopify checkout.
- How to read it
This shows how many conversations reached the point at which the shopper could complete their purchase.
Completed orders
Completed outcomes
- What it shows
Paid Shopify orders that can be reliably attributed to an AnyCart-assisted customer journey.
- How to read it
This shows how many identifiable AnyCart journeys resulted in a completed paid order.
Only orders with confirmed attribution evidence are included. An attributed order shows that AnyCart assisted a shopper journey that resulted in a sale.
AnyCart-assisted revenue
Completed outcomes
- What it shows
The total value of successful orders from your store that can be reliably attributed to AnyCart during the selected period.
- How to read it
This shows the commercial value associated with completed AnyCart-assisted journeys.
The amount used for revenue-share billing is governed by your agreement with AnyCart.
Missed-demand signals
Shopper signals
- What it shows
Conversations in which a shopper appeared to want something the available catalogue could not provide.
This may include an unavailable product, size, colour or variant, an out-of-stock item or a request for which no suitable product could be found.
- How to read it
Repeated signals can reveal catalogue gaps, stock problems or customer demand worth investigating.
Estimated opportunity at drop-off
Estimates
- What it shows
A directional estimate of the potential value associated with the largest measured drop-off in the buying journey.
- How to read it
This helps identify where improving the customer journey may have the greatest commercial value.
It is intended to help prioritise investigation rather than predict future sales.
Commercial outcomes
Attribution and assisted revenue
Attribution connects a paid Shopify order to the AnyCart conversation that helped the shopper reach it. When Shopify confirms an order that can be reliably linked to that journey, the order and its value appear in the dashboard.
1The conversation begins
A shopper asks AnyCart for help finding the right product.
2AnyCart helps the shopper choose
AnyCart recommends suitable products and helps the shopper move towards a cart or checkout.
3Shopify records the sale
The shopper completes the purchase through the merchant’s existing Shopify checkout.
4The result appears in the dashboard
When the paid order can be connected to the AnyCart journey, the order and its value are included in the assisted results.
What attribution can show
- AnyCart took part in the path to purchase.
- A qualifying order can be connected to an identifiable AnyCart-assisted journey.
- Commercial value is available where the required Shopify evidence exists.
What it cannot prove
- AnyCart was the only reason for the purchase.
- The sale would not have happened through another channel.
- Every shopper was influenced to the same degree.
Your attribution window and merchant-specific commercial terms are recorded in your signed Order Form.
Revenue-share billing is governed by that Order Form and the Merchant Services Terms. These documents remain authoritative for the treatment of discounts, taxes, shipping, refunds, cancellations and chargebacks.
Ask us about your termsUsing the evidence
Turning signals into useful decisions
Dashboard metrics are most useful when considered together. A pattern is a reason to investigate, not automatic proof of its cause.
Repeated searches with no valid match
This may point to:
- A catalogue gap
- An out-of-stock product or variant
- Incomplete product information
- Customer language the matching system does not yet understand
- Demand for something the merchant does not offer
Unavailable sizes or variants
This may point to:
- Gaps in the size curve
- Persistent demand for a missing colour or variant
- Stock that is not described correctly in Shopify
- Availability information that needs improvement
Strong interest but low cart creation
This may point to:
- Weak or overly broad matches
- Missing product information
- Price resistance
- Availability problems
- Advice-seeking rather than immediate buying intent
High cart creation but low completion
This may point to:
- Delivery costs
- Checkout usability
- Payment options
- Availability changing before purchase
- Shoppers using carts for consideration
They can reveal information missing from product pages, confusing descriptions, common objections, or opportunities for better buying guides and assistant guidance.
Responsibilities and boundaries
Data, payments and merchant control
Connected to Shopify
AnyCart connects to the merchant’s catalogue, cart and checkout using Shopify permissions required for the agreed functionality.
Configured around the merchant
The merchant approves the assistant’s guidance, product priorities, recovery settings, knowledge sources and operating channels. The AnyCart team applies approved changes.
Payments stay with Shopify
AnyCart can build a cart and guide a shopper to checkout, but Shopify and the merchant’s payment provider handle the transaction. AnyCart does not receive, process or store card details.
Data does not train general-purpose AI models
Merchant and shopper information is not used to train general-purpose AI models. Data is handled under AnyCart’s defined access, retention and deletion rules.
Read the numbers together
Using the dashboard well
AnyCart gives you a clearer view of what happened during a shopper journey and where useful patterns are emerging. The measures are most valuable when they are read together.
Keep four things in mind:
Point 1
A conversation is not necessarily a unique customer.
Point 2
Purchase intent and missed demand are useful signals rather than completed sales.
Point 3
Attribution connects AnyCart to an assisted journey; it does not measure every influence on the shopper.
Point 4
Estimated opportunity figures help prioritise investigation rather than predict future revenue.
Catalogue quality, product availability and the amount of information available all affect what the dashboard can reveal.
The dashboard is designed to help you find useful patterns, ask better questions and decide where action may be worthwhile.
Questions about your dashboard?
We can help you trace the signal.
If a metric does not look right, we can review the relevant evidence and help determine whether it reflects customer demand, catalogue quality, availability or another part of the journey.