AI that does the wholesale busywork.
Sparkie, your own sales agent, works across SparkLayer - from helping you set things up to showing your team who needs them next in SparkLayer Pulse. The AI Intelligent Cart turns emailed orders and files into baskets, and Claude and ChatGPT connect through SparkLayer MCP.
Meet Sparkie, your own sales agent.
Sparkie works across SparkLayer with the customers, orders, quotes, carts and pricing already in it. In SparkLayer Pulse, ask him anything in plain English and every answer shows the numbers and the next step. In SparkLayer itself, he helps you set things up, from price lists to customer rules.
The Intelligent Cart
Watch an order build itself.
Your customer emails an order, sends a spreadsheet or takes a photo of a stock sheet. Intelligent Cart reads the request, matches what it can to your real catalogue and builds a basket using that customer’s pricing and pack rules. Anything uncertain is flagged for you to review rather than guessed.
Let AI handle the messy bits. Keep the important bits in SparkLayer.
AI is good at understanding natural language, interpreting documents and turning messy requests into something structured. It should not be inventing a customer’s price, deciding whether they can buy a product or bypassing the rules of your B2B operation. SparkLayer remains the source of truth for those decisions.
AI interprets
the usual tea
another four cases
what changed?
- natural-language questions
- emails and documents
- ambiguous product descriptions
- account activity
- written summaries
- draft communications
SparkLayer decides
- which product that is
- how many they can order
- what the numbers actually are
- products and customer access
- pricing and discounts
- pack sizes and quantities
- stock
- payment terms
- permissions
- whether the order is valid
AI interprets the request. SparkLayer decides what is actually allowed.
Connect the AI tools you already use.
Your team may work in SparkLayer, ask Sparkie or spend part of the day in tools such as ChatGPT or Claude. SparkLayer MCP lets approved AI tools use specific SparkLayer data and actions directly, without building a custom integration for each AI workspace. SparkLayer still controls what the connection can see, what it can prepare and which rules apply.
Understand and maintain your SparkLayer setup from the AI workspace you already use.
Ask an approved AI tool to inspect price lists, customer groups and supported configuration, explain what it finds and prepare a change for review. This is useful whether you are a merchant, an agency or a SparkLayer implementation team.
list_price_listsget_pricing_configurationlist_customer_groupspropose_price_list_changeFor changes, SparkLayer shows you the proposed result first. You decide whether to apply it.
Ask SparkLayer questions about the business, not just its settings.
Ask about reorder timing, customer activity, open quotes or sales performance, and get answers from the same metrics that power SparkLayer Pulse.
get_customer_snapshotget_reorder_opportunitiesget_open_quotesget_sales_summaryThe AI does not invent its own definition of “overdue”, “lapsed” or “customer value”. Those metrics come from SparkLayer.
It can only do what you are allowed to do.
Your permissions
The connection inherits the access of the SparkLayer user behind it. If that user cannot change pricing, the AI tool cannot either.
Specific tools
AI tools receive named SparkLayer actions, not unrestricted database access.
Your confirmation
For supported changes, SparkLayer shows you what is being proposed before anything is applied.
An audit trail
SparkLayer records the connection, action and resulting change so you have a history of what happened.
Use SparkLayer from the AI tool that suits you.
Your teams may work in different AI interfaces. The SparkLayer data, permissions and business rules underneath them do not change.
The AI assistant built into SparkLayer Pulse.
Connect an approved MCP-compatible AI workspace to SparkLayer.
Bring supported SparkLayer data and actions into Shopify Sidekick through Shopify’s app extensions.
Building or implementing SparkLayer?
Your team spends time checking configuration, comparing environments and repeating setup work. SparkLayer MCP gives approved AI tools a structured way to inspect supported configuration and prepare changes, so your team can move faster without bypassing SparkLayer’s validation and permissions. Check a merchant’s price lists, compare staging with production, find missing customer-group configuration or prepare supported setup changes. If your team already uses Claude, ChatGPT or coding agents day to day, you can connect them today.
What is MCP?
MCP stands for Model Context Protocol. It is an open standard that lets AI tools use approved functions from other software. SparkLayer MCP exposes a controlled set of SparkLayer data and actions. An authorised AI assistant can inspect information, answer questions and prepare supported changes without receiving unrestricted access to SparkLayer.
Is SparkLayer MCP available today?
Yes. SparkLayer MCP currently supports a defined set of tools for reading SparkLayer configuration and B2B data, together with selected configuration changes that can be reviewed before they are applied. Get started and we can help connect a supported workspace.
Is MCP the same as Sparkie?
No. Sparkie is SparkLayer's own AI assistant, working inside SparkLayer and SparkLayer Pulse. MCP is the connection layer that lets approved external AI tools use specific SparkLayer data and actions. They can rely on the same underlying SparkLayer tools, but the interfaces are different.
Does MCP connect SparkLayer to Shopify Sidekick?
Not directly. Shopify Sidekick uses Shopify's own app-extension framework. SparkLayer can expose similar underlying capabilities through Sparkie, MCP and supported Sidekick integrations, but they are separate connection methods.
Can agencies use SparkLayer MCP?
Yes. Agencies can use supported MCP tools to inspect configuration, compare environments, troubleshoot setup and prepare approved changes. This is particularly useful for teams implementing or managing SparkLayer across multiple merchants. Talk to us about MCP for your agency.
What is Sparkie?
Sparkie is SparkLayer's AI assistant, and he works across SparkLayer. In SparkLayer Pulse, ask him about customers, orders, quotes and sales activity and he answers using data and metrics already held or calculated in SparkLayer. In SparkLayer itself, he helps you set things up, from price lists to customer rules.
What is the Intelligent Cart?
Intelligent Cart turns a buyer's email, file, image or product list into a SparkLayer basket. It matches what it can against your real catalogue, flags anything uncertain and then lets SparkLayer apply the customer's normal pricing and ordering rules.
Is my data used to train AI models?
For SparkLayer's own AI features, no. Sparkie conversations are scoped to your merchant account, and sensitive information is minimised before it is sent to the model. Files and emails used by Intelligent Cart are kept only for processing and then removed. If you connect an external AI service through MCP, that provider's own privacy and data policies also apply to the data you choose to share with it. The Trust Center has the detail.
What does the AI cost?
Sparkie and other AI-assisted features use AI credits. An allowance is included with eligible plans, with additional usage available when needed. See current pricing or talk to us for details.