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Case study · Retail & eCommerce

One stock position, twelve shops and a website

A retailer was running stores and online as separate businesses that happened to share a brand. We put them on one Shopify stock position, which turned twelve shops into twelve fulfilment centres.

Engagement · Programme & rollout

Unified commerce, where the stock position has to be true in both directions.

Industry
Speciality retail
Solution
Unified retail and online commerce
Platform
Shopify POS
Engagement model
Dedicated product team
Scope
POS, online, stock, fulfilment, loyalty
Estate
12 stores + online
Constraint
Offline-capable point of sale
Target
Sell every unit of stock

Outcomes

What one stock position unlocked

The stock was always there. It just could not be sold to the person who wanted it.

  • +29% Sell-through on slow lines

    Ship from store means a unit sitting in one shop can be sold to an online customer anywhere, so stock stops dying in the wrong location.

    Measured across slow-moving lines over two seasons

  • 41% Of online orders collected in store

    Click and collect became the default choice once availability per store was accurate enough to promise, and those customers buy again in store at a materially higher rate.

    Measured across online order fulfilment after rollout

  • −52% Markdown on end-of-season stock

    Visibility across the whole estate means stock is moved or sold before it needs discounting, rather than being discovered at stocktake.

    Measured across end-of-season markdown value year on year

Context

Two businesses wearing one brand

Stores and online each had their own stock, their own customers and their own view of the truth.

The business

A speciality retailer with twelve stores and a growing online channel, selling a catalogue with strong seasonality.

The starting point

Store stock and online stock were separate pools. A customer standing in a shop could not buy an item held online, and vice versa.

The trigger

End-of-season markdown was consuming the margin, and analysis showed a large share of it was stock that had been available somewhere a customer wanted it.

What they wanted

One stock position, click and collect, ship from store, and a single customer record regardless of where they bought.

Constraints

Stores cannot stop trading when the network drops · store staff will not use a slow till · online promises must be accurate or collection fails · stock accuracy in store was not good enough to promise against on day one.

System

What it runs at today

The estate as it runs today.

  • 12 Stores

    On one stock position

  • 41% Click and collect

    Of online orders

  • Offline Point of sale

    Trades through network loss

  • 1 Customer record

    Across every channel

The engineering problem

Four problems with separate channels

All of them end with a customer who wanted to buy and could not.

  1. Stock that exists but cannot be sold

    A unit in a store the customer will never visit is worth nothing to an online customer who wants it, and gets marked down at the end of the season.

    What we did

    One stock position with ship from store, so any unit in the estate can fulfil any order.

  2. Promises that collection cannot keep

    Click and collect only works if store stock accuracy is high. Promise a unit that is not there and the customer has a wasted journey and a lost afternoon.

    What we did

    A stock accuracy programme before the promise: cycle counting, then availability buffers per store, tightened as accuracy improved.

  3. A till that needs the internet

    A point of sale that stops when connectivity does turns a router fault into a closed shop on a Saturday.

    What we did

    Offline-capable POS with local catalogue and transaction store, reconciling automatically when the connection returns.

  4. Two customer records for one customer

    The same person buying in store and online appears as two customers, so loyalty, history and service are all wrong.

    What we did

    A single customer record across POS and online, with purchase history and loyalty visible to store staff at the till.

Architecture

How it fits together

Simplified — the shape of the system rather than every service in it.

  1. Stock

    • One position
    • Per-location
    • Availability buffers

    One pool with location-level detail and buffers reflecting real accuracy.

  2. Fulfilment

    • Ship from store
    • Click and collect
    • Routing

    Orders routed to the location that should fulfil them.

  3. Point of sale

    • Offline capable
    • Local catalogue
    • Reconciliation

    Stores trade regardless of connectivity.

  4. Customer

    • One record
    • History
    • Loyalty

    The same customer at the till and online.

The availability buffer per store was the unglamorous part that made this work. Promising stock you do not have is worse than not offering collection at all.

Solutions

What we built

Twelve shops turned into twelve fulfilment points.

  • Unified stock

    One position with per-location detail.

  • Ship from store

    Order routing across the estate.

  • Click and collect

    Reservation against accurate availability.

  • Offline POS

    Local catalogue and transaction store.

  • Customer record

    One customer across till and online.

  • Stock accuracy

    Cycle counting and buffer management.

Key capabilities

What it does day to day

Six capabilities across the estate.

CapabilityRunsRefreshWhat it does
Unified stock Automatic Continuous One position with per-location detail
Ship from store Store staff Per order Online orders routed to and picked in store
Click and collect Customer Per order Reserve and collect against accurate store availability
Offline POS Store Offline capable Local catalogue and transactions, reconciled on reconnect
Customer record All channels Continuous One record with history and loyalty at the till
Stock accuracy Store staff Cycle counts Counting programme feeding buffer tightening

Integrations

How the moving parts plug in

The order goes where the stock is.

Order placed

  • OnlineOr in store
  • Availability checkedAcross the estate
  • Customer identifiedOne record

Routing

  • Nearest stock
  • Store capacityConsidered
  • Collection or shipCustomer choice

Fulfilment

  • Picked in storeOr warehouse
  • CollectedOr shipped
  • Stock updatedOne position

Routing considers store picking capacity as well as proximity, because a shop that is busy on a Saturday cannot also pick forty online orders.

Security & data

What protects trading

Twelve shops means twelve places a failure can cost a day of revenue.

  • Offline continuity

    Stores keep selling through network failure and reconcile automatically.

  • Stock accuracy programme

    Cycle counting with buffers, so promises match reality.

  • Role separation

    Store, head office and fulfilment rights kept distinct.

  • Staged rollout

    Stores brought on in waves, never the whole estate at once.

The brief

Unified commerce begins with counting

Every unified commerce programme is sold on ship from store and click and collect. Both depend entirely on store stock accuracy, and most retailers overestimate theirs.

We ran a counting programme and used availability buffers before making a single promise to a customer. That is why collection worked from the first week rather than generating complaints.

  • One stock position with per-location detail
  • Availability buffers reflecting real accuracy
  • Offline-capable point of sale
  • One customer record across channels

What the programme had to respect

  • 01Stores that cannot stop trading
  • 02Store stock accuracy that was not good enough on day one
  • 03Store staff who will not use a slow till
  • 04Collection promises that must be kept

Process

We counted before we promised

The order of work decided whether this programme would be trusted.

  1. Stage 1

    Stock accuracy baseline

    Cycle counts across the estate to establish real accuracy per store, which was lower than assumed.

  2. Stage 2

    Buffers

    Availability buffers set per store from measured accuracy, tightened as counting improved.

  3. Stage 3

    POS rollout

    Offline-capable tills rolled out store by store before any online promise depended on them.

  4. Stage 4

    Collection pilot

    Click and collect piloted in three stores and measured on failed collections, not on order volume.

  5. Stage 5

    Ship from store

    Enabled once picking capacity and accuracy were both proven.

Technology

Shopify POS and online on one platform

One platform is the point; the work is in stock and fulfilment.

Commerce

  • Shopify
  • Shopify POS
  • Storefront API

Stock

  • Per-location inventory
  • Availability buffers
  • Cycle counting

Fulfilment

  • Order routing
  • Ship from store
  • Click and collect

Customer

  • Unified records
  • Purchase history
  • Loyalty

Business impact

What changed for the retailer

Three outcomes across two seasons.

  • Markdown down 52%

    Stock moved or sold before it needed discounting.

  • Slow lines selling through

    Up 29%, because location stopped limiting who could buy.

  • Store staff know the customer

    History and loyalty visible at the till.

The result

Every unit of stock is now sellable to everyone

Slow lines sell through 29% better and end-of-season markdown is down 52%, because stock in one shop can now reach a customer anywhere.

41% of online orders are collected in store, and those customers spend again in store at a materially higher rate than pure online customers.

  • Markdown down 52%
  • Slow-line sell-through up 29%
  • 41% of online orders collected in store
  • Stores trading through network loss

What we hold to in unified commerce

  • 01Count before you promise — accuracy decides everything
  • 02Buffer availability until accuracy earns the tightening
  • 03A till must never depend on the internet
  • 04Route on picking capacity, not only on distance

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