Commerce integration guide
Lightspeed + UbiGrowth workflows
Lightspeed is a retail and hospitality point-of-sale platform owning in-store transactions, inventory, and customer data. This guide covers the records that matter, how the connection should be scoped, and what the first bounded workflow should be.
Introduction
Make Lightspeed part of the workflow, not another silo.
Validate connector availability for your workspace
This guide covers how a team designs a commerce workflow around Lightspeed with UbiGrowth: which records stay authoritative, how the connection should be scoped, what the first bounded workflow should be, and how to tell whether it worked.
The records that matter are Sale, Item, Customer, Inventory Count, Shop, Vendor, and Purchase Order. Lightspeed ships as distinct products for retail and restaurant with different APIs and object models, so "Lightspeed" names a family rather than one integration target. Confirm which product before designing.
Lightspeed is not currently on UbiVibe's verified connector list. This page is an implementation design reference: use it to specify the workflow, then validate whether the connection is available and correctly scoped for your workspace before you make it a dependency. The verified UbiVibe connections today are Salesforce, HubSpot, Gmail, Google Drive, Slack, and GitHub.
Grow is the usual destination for this connection, because the value shows up as outreach, reply handling, scheduling, and pipeline execution against the connected records.
Why teams evaluate this connection
Integrations create value when they remove operating friction.
The first design decision is not which API endpoint to call; it is which system owns the record, what event should trigger work, who owns the exception path, and what successful completion means.
Commerce platforms generate a continuous stream of events, and most merchants use almost none of it. Lightspeed records what was ordered and by whom, but the follow-up, retention, and service work that should follow from that record usually happens in a different tool with a different view of the customer.
The result is that the same customer is treated as new by marketing, as an order number by fulfilment, and as an unknown by support, which is exactly the experience that erodes repeat purchase rates.
You're likely here because
- Order data and customer follow-up live in separate tools
- Support answers order questions without order context
- Lifecycle campaigns run against stale exported segments
Record model
What a Lightspeed integration actually reads and writes.
Integration design starts from the objects the system really exposes, not from a generic connector diagram. These are Lightspeed's.
Identity and matching
Lightspeed ships as distinct products for retail and restaurant with different APIs and object models, so "Lightspeed" names a family rather than one integration target. Confirm which product before designing.
Start here
Read Items below reorder threshold across Shops and stage the Purchase Order for the buyer to approve, consolidating the same Vendor's lines so one order goes out rather than several.
What this will not do
It will not unify online and in-store customers. Loyalty identity is opt-in at the till, so most in-person transactions are anonymous and any joined view covers only the minority who enrolled.
The constraint to plan around
Inventory counts are per Shop and adjusted by physical processes, so an integration reading stock sees a number that a stock take may correct retroactively.
Build notes
What you actually have to reason about in Lightspeed.
The fields that carry meaning, how the connection authenticates, and whether the event surface can be trusted. This is the part that decides whether the integration works in month three.
| Field | Why it matters |
|---|---|
| product line (Retail vs Restaurant) | different products with different APIs — confirm which before designing |
| shop id | inventory and sales are per shop |
| item quantity on hand | adjusted by physical processes and corrected retroactively by stock takes |
| sale line items | the transaction detail, including discounts applied at the till |
| customer id | opt-in at the till, so most transactions are anonymous |
Authentication
OAuth per product line, with different endpoints and scopes for Retail and Restaurant. Credentials do not transfer between them despite the shared brand.
Events and delivery
Webhook availability differs by product line, with polling common. Verify the surface for the specific product rather than assuming parity.
Workflow
How the Lightspeed workflow runs.
The operating sequence, from reading the source system through to the result landing back where it belongs.
Step 01
Read order and customer state
Connected Lightspeed data provides the real order, customer, and fulfilment state rather than a periodic export.
Step 02
Resolve the customer
The customer is matched across order, marketing, and support systems using a defined rule, including the ambiguous case.
Step 03
Trigger from a real event
Follow-up is driven by an actual order or fulfilment event, so the message matches the customer experience.
Step 04
Run the lifecycle action
Post-purchase, exception, or repeat-purchase follow-up runs with the product and timing context attached, under review while it is being proven.
Design decisions
The commerce decisions this connection forces.
Each of these has to be settled before the Lightspeed workflow is allowed to write anything.
Step 01
Resolve the customer across channels
Decide how a customer in Lightspeed is matched to the same person in marketing, support, and any other channel, including what happens when the match is ambiguous.
Step 02
Treat order state as the trigger
Follow-up should be driven by real order and fulfilment state rather than by a periodic export, otherwise the message and the customer experience diverge.
Implementation path
How to implement the Lightspeed workflow.
- 01
Decide which records Lightspeed owns and which the workflow may act on, starting read-only.
- 02
Define the customer identity match across order, marketing, and support systems before enabling any follow-up.
- 03
Pick one lifecycle moment — post-purchase, fulfilment exception, or repeat-purchase timing — and instrument only that.
- 04
Once reorder staging works, add supplier lead-time tracking so reorder points reflect reality rather than a fixed threshold.
Governance
Controls that matter.
Control 01
Order, refund, and fulfilment changes require explicit authorization rather than automated convenience.
Control 02
Customer messaging honours consent, preference, and channel rules.
Control 03
Payment and personal data stay in the systems that already govern them, at scoped access.
Failure modes
How a Lightspeed integration breaks in production.
Not generic integration advice. These follow from how this system actually behaves, which is why they look nothing like the list on the next guide over.
Symptom 01
An integration built against documentation does not work.
Cause
Retail and Restaurant are different products with different APIs.
Fix
Confirm which product the customer runs before writing any code.
Symptom 02
Stock levels contradict the integration.
Cause
A physical stock take retroactively corrected quantities.
Fix
Treat stock takes as authoritative and design writes to yield to them.
Symptom 03
Customer analysis covers a small minority of sales.
Cause
Loyalty identity is opt-in at the till.
Fix
Report coverage explicitly rather than presenting partial data as complete.
What changes at scale
Rate limits differ per product line. Per-shop iteration multiplies requests for multi-location retailers, so cache shop configuration.
Examples
What a working Lightspeed workflow looks like.
Bounded scenarios rather than a feature list. Each one can be verified against work the team already does.
Retail operations
With Lightspeed connected, follow-up runs against real order and customer state rather than a segment exported last month.
Post-purchase lifecycle
A specific order event in Lightspeed triggers follow-up with the product and timing context attached, instead of a generic scheduled campaign.
Limitations and considerations
What to validate before you depend on this.
- Inventory counts are per Shop and adjusted by physical processes, so an integration reading stock sees a number that a stock take may correct retroactively.
- Inventory writes affect what the till believes is in stock, and a stock take can retroactively contradict them. Writes and physical counts fight each other unless one is authoritative.
- When a unified online and in-store customer view is the goal. Loyalty identity is opt-in at the point of sale, so coverage is partial by design.
- Marketplace and platform policies constrain what can be automated around Lightspeed, particularly for customer contact; check the rules before designing the workflow.
- Order, refund, and fulfilment writes carry direct customer and financial consequences and need explicit authorization.
FAQ
Lightspeed integration questions.
What records does a Lightspeed integration actually work with?
The primary records are Sale, Item, Customer, Inventory Count, Shop, Vendor, and Purchase Order. Lightspeed ships as distinct products for retail and restaurant with different APIs and object models, so "Lightspeed" names a family rather than one integration target. Confirm which product before designing.
What should the first Lightspeed workflow be?
Read Items below reorder threshold across Shops and stage the Purchase Order for the buyer to approve, consolidating the same Vendor's lines so one order goes out rather than several.
What will a Lightspeed integration not do?
It will not unify online and in-store customers. Loyalty identity is opt-in at the till, so most in-person transactions are anonymous and any joined view covers only the minority who enrolled.
What is the main constraint to plan around?
Inventory counts are per Shop and adjusted by physical processes, so an integration reading stock sees a number that a stock take may correct retroactively.
What changes about a Lightspeed integration at scale?
Rate limits differ per product line. Per-shop iteration multiplies requests for multi-location retailers, so cache shop configuration.
How does authentication work for Lightspeed?
OAuth per product line, with different endpoints and scopes for Retail and Restaurant. Credentials do not transfer between them despite the shared brand.
Does Lightspeed support webhooks, and can they be trusted?
Webhook availability differs by product line, with polling common. Verify the surface for the specific product rather than assuming parity.
What is the risk of writing to Lightspeed?
Inventory writes affect what the till believes is in stock, and a stock take can retroactively contradict them. Writes and physical counts fight each other unless one is authoritative.
When is connecting Lightspeed the wrong call?
When a unified online and in-store customer view is the goal. Loyalty identity is opt-in at the point of sale, so coverage is partial by design.
What should a Lightspeed integration automate first?
Start with one bounded workflow that removes a measurable handoff, duplicate-entry step, reporting delay, or follow-up gap. Expand only after the first workflow is reliable.
Does UbiGrowth require Lightspeed to be replaced?
No. The operating model is designed around connecting to systems that should remain authoritative and building workflows around them rather than forcing a wholesale replacement.
Is connector availability identical for every workspace?
No. Availability can depend on provider configuration, authentication, scopes, workspace setup, and deployment state. Validate the required connection before treating it as an operational dependency.
Can follow-up be triggered by Lightspeed order events?
Yes, and it should be. Follow-up driven by real order and fulfilment state is materially more accurate than a periodic exported segment.
Can the workflow change orders or issue refunds?
Those actions carry direct customer and financial consequences and require explicit human authorization rather than automated convenience.
How is the same customer recognised across channels?
Through an identity match rule you define, including what happens when a match is ambiguous. Resolution is rarely perfect, so design for the ambiguous case.
How this access is governed
What ARIA is allowed to do in Lightspeed, and who decides.
Connecting Lightspeed is a permission decision, not just a setup step. These are the controls that decide what ARIA can reach, what it can change, what gets recorded, and how you take the access back.
Required permissions
ARIA works through the scopes the connection was granted, and no others. Authorization happens at the provider, so the permissions being requested are shown by the system itself before anything is connected.
What it can reach
Reachable systems are the intersection of what your organization approved in the connector registry and what the requesting identity is permitted to use. Identity resolves before execution, not after.
What it can do
Actions run through explicit execution paths with state, spend, and failure boundaries — a bounded worker path rather than an open-ended agent loop with a credential.
Credential handling
Credentials live in the governed connection layer and are resolved through canonical connection identity. They are not pasted into individual workflows, prompts, or generated artifacts.
Action logging
Execution carries state and traces: what triggered the work, which connection it used, and what came back — including an explicit failure when something did not run.
Approval and revocation
Consequential actions can be made to require a person to approve them. Access can be changed or revoked at the connection, and ARIA loses that reach without unpicking the work already completed.
Start with ARIA
Ask ARIA to run this integration.
Describe the outcome you need across this system. ARIA works out the scopes, data, and actions the job requires, and operates inside the access you grant — which you can change or revoke.
- ARIA acts only through the systems and permissions you connect.
- Connections use scoped credentials you can change or revoke.
- Actions are recorded, and consequential ones can require approval.
Start here
Turn the integration into a working business outcome.
Start with ARIA to describe the outcome, then continue into the product path that fits the workflow. Connector availability and required scopes should be validated for the specific workspace before production use.