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Restaurant Chain POS Integration

35% faster operations, unified reporting

Custom POS integration connecting 15 restaurant locations with centralized inventory, reporting, and staff management.

Client
FoodChain Group
Sector
Custom software
Engagement
Phased rollout, 15 sites
Duration
6 months, in four waves
Team
4 — lead, two engineers, rollout lead
Stack
Node.js, React, MongoDB, Socket.IO, Docker
Restaurant Chain POS Integration

IMPACT

35%
faster operations
15
locations in one report
4 hrs
saved per manager each week

THE WORK

01The challenge:

Fifteen restaurants, two POS systems and a Sunday-night spreadsheet

FoodChain Group had grown to 15 restaurants by buying a four-store group that ran a different POS. Each general manager counted stock on paper, typed it into a spreadsheet on Sunday night and emailed it in. Head office merged the files by hand, so the owner saw last week's numbers on Wednesday.

Ordering was done from memory. One store ran out of chicken on a Friday while another three miles away threw some out on Monday, and nobody knew until the invoices arrived. Managers spent about twelve hours a week on counts, close-out and reports instead of on the floor.

02What we built:

Every sale deducts stock, and every store reports to one screen

A Node.js connector reads both POS systems ticket by ticket and maps each menu item to its recipe, so selling a bowl deducts rice, protein and packaging from that store's MongoDB inventory. Each location runs the connector in a Docker container on a small in-store box that queues sales when the internet drops and replays them later.

Socket.IO pushes every change to a React dashboard at head office and a tablet in each kitchen. Par levels per store produce a suggested order each afternoon, and a transfer button moves surplus between nearby sites. Shifts and clock-ins come from the POS, so labor runs against sales by the hour.

03What changed:

Back-office work runs 35% faster, and one report covers all 15 stores

Close-out, counts and ordering run 35% faster, taking each manager from about twelve hours a week to just under eight. Reporting is unified: sales, food cost and labor for all 15 locations sit in a single view that updates as tickets close, broken out by store, daypart and item.

Transfers between neighboring stores replaced most emergency orders by the second month. FoodChain's two-person IT team took over after the fourth wave with the Docker images, a written runbook and four weeks of shadowed support, and they now add menu items and recipes without calling us.

WHAT WE DID

Strategy

  • Menu-to-recipe mapping
  • Par levels by store
  • Rollout wave plan

Build

  • Dual-POS connector
  • MongoDB inventory model
  • Socket.IO live dashboard
  • In-store Docker boxes

Handover

  • Runbook and diagrams
  • IT team training
  • Four weeks of shadowing
  1. 20 minutes

    A call to hear what you are building.

  2. 48 hours

    A written scope and a fixed quote.

  3. Week one

    Kickoff, with the build team you met.

We reply within 24h · Mon–Fri, 09:00–18:00 PKT