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POS integration

Point-of-Sale Integration

If you sell at a counter, a branch or a store, the point-of-sale system records the sale, but the accounting entries, stock updates and reorders often happen later by hand. We connect the POS to the systems that depend on its data.

A café employee checking a point-of-sale terminal at a warm service counter, hospitality scene distinct from a restaurant kitchen.

Practical examples for your business.

01

Daily sales → accounting

Daily sales summaries are posted to accounting automatically, split by payment type, tax and discounts.

The problem: Each day someone exports POS sales and enters the totals in accounting.

02

Counter sales → inventory

Items sold at the POS reduce stock in the inventory system, and items below their reorder point are flagged.

The problem: Stock sold at the counter isn't reflected in the ERP or inventory system until someone reconciles it.

03

Refunds and discounts → manager alert

Refunds, voids or discounts above a threshold you set send an alert to a manager with the transaction details.

The problem: Large refunds or overrides only show up in the end-of-day report.

A practical approach

Connect the tools your team already uses.

The right starting point depends on your people, information, and business goals. We agree the scope together.

  • Common systems: Square, Clover, Shopify POS, Lightspeed, Heartland
  • Post sales, tax and payment totals to accounting
  • Update inventory from POS transactions
  • Alert on refunds, voids and discounts above a threshold
  • Combine sales from several locations
  • Agree on data access and review steps before implementation
  • Define a clear scope, price, and handoff together

Systems around the workflow

Build around your existing pos tools.

Connect counter and store sales to your accounting, inventory and ERP. We identify the source of truth, permitted access, field mapping, and a safe way to handle failed or repeated requests.

  • Square
  • Clover
  • Shopify POS
  • Lightspeed
  • Heartland

The records and rules

Identify item identifiers, modifiers, transaction status, tax, payment type, refunds, and location records. Confirm what the POS permits external systems to read or create.

The staff decisions

Managers review unusual refunds, discounts, and reconciliation differences. For ordering, staff handle unsupported requests and the agreed exceptions before fulfillment.

What the pilot should prove

Test modifiers, voided transactions, tax and payment totals, returns, repeated updates, and location-level reconciliation against a representative trading day.

When a connection fails

Keep a traceable record of what was requested, what completed, and what needs review. Agree retry limits, duplicate protection, staff fallback, and the owner who resolves a failed update before launch.

Everyday business, practical AI

See the complete workflow.

These are proposed implementations we can scope around your business. Explore the steps, the staff decisions, and a sensible first pilot.

Restaurants & hospitality

Text-to-order for restaurants

Let customers start an order through a text conversation or website chat. Turn a casual message into a clear basket, check it against the menu, and connect the confirmed request to the restaurant’s normal order process.

From request to completion

  1. 1A customer messages the business or opens the ordering chat.
  2. 2The assistant uses the live menu to assemble items and asks only for missing options.
  3. 3The ordering system checks price, stock, location, fulfillment rules, and the requested time.
  4. 4The customer reviews the basket and uses an approved payment link or confirms the restaurant’s allowed payment method.
  5. 5A supported integration submits the order and sends confirmation; staff see unresolved requests in one queue.

Your team stays in control

Require confirmation before placing an order. Handle duplicate messages safely. Keep ordering messages separate from marketing consent and let customers request a person.

What connects

Messaging channel or website, menu data, order management, checkout, and kitchen or staff queue.

A practical first pilot

Offer a small pickup menu through one channel. Verify modifiers, payment failures, duplicate requests, cancellation rules, and the kitchen handoff with staff.

How to evaluate it

Review basket completion, abandoned conversations, order corrections, and staff handling time.

Retail & ecommerce

Order and return help for retailers

Answer recurring delivery, return, and product questions using current store policies and authenticated order information. Prepare the next step without making unsupported promises about refunds or delivery.

From request to completion

  1. 1A shopper asks about an order or product through chat.
  2. 2The assistant retrieves approved product and policy information and verifies identity for account-specific requests.
  3. 3A permitted lookup checks order and shipment status.
  4. 4The customer gets the supported answer or an eligible return link; unusual requests go to staff.
  5. 5The support record captures the outcome and the team reviews repeated issues.

Your team stays in control

Restrict order lookups to the verified customer. Staff handle disputed charges, exceptions, and discretionary refunds. Product advice uses approved specifications.

What connects

Storefront, product catalog, order management, carrier status, and help desk.

A practical first pilot

Begin with policy questions and read-only order status. Add return workflows after verifying identity, eligibility, and failure handling.

How to evaluate it

Check answer quality, repeated contacts, handoff completeness, and successful self-service outcomes.

Implementation, end to end

A working process your team can operate.

01

Understand the current work

Walk through a real request with the people doing the job. Identify the source records, decisions, bottlenecks, and exceptions before choosing software.

02

Build a useful pilot

Define a limited starting scope and create a working version. Test representative requests alongside difficult cases, missing data, and failed connections.

03

Launch with clear ownership

Agree access, approval steps, acceptance checks, and a release plan. Show staff how to use the system, review exceptions, and contact the responsible owner.

04

Maintain and improve

Provide the agreed documentation and handoff. Review usage, operating costs, and issues; define support coverage and future changes in the engagement.

Connect the rest of the workflow.

Voice, chat & conversational AI

Build phone, website chat, or messaging workflows around your menu, services, policies, and customer process. Connect the conversation to supported ordering, booking, ticketing, or intake systems so staff receive useful work rather than another transcript.

Connected systems & reporting

Connect the systems you already use, clean up agreed data, and create useful operational views of customers, jobs, orders, and exceptions.

Before we begin

The questions that shape your project.

Bring the business problem. We can help translate it into a practical technical plan.

Can you work with our existing software?

We review the systems you use, available APIs or supported imports, subscription requirements, and access permissions. The scope identifies which connections can be implemented and which need an alternative.

What do you need from our team?

A process owner, examples of the current work, and access to the systems included in the scope. Your staff help confirm the business rules, review a pilot, and decide whether the result is ready to use.

How are cost and success agreed?

The proposal defines deliverables, assumptions, responsibilities, acceptance checks, and pricing. Third-party subscriptions and usage costs are identified separately. We choose meaningful measures from your existing process rather than promise an untested result.

What happens after launch?

The agreement defines code and account ownership, documentation, training, deployment responsibilities, and any ongoing support. Staff get a clear way to handle failures and requests for changes.

Let’s talk about what you want to improve.

A short conversation can help you decide where AI and better systems would make a useful difference.