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Work/Craigmore
BuildBuilders & tradeCW-043-BD-BT

Craigmore: rebuilding builders and trade around catalogue depth and account buying.

A 2-month Adobe Commerce (Powered by Magento) build for builders and trade, shaped around catalogue depth, catalogue governance, account ordering, technical product information and B2B, B2C, trade-account and marketplace buying.

Craigmore's operating scale meant the commerce platform had to support specialist catalogue depth, product information, operational systems and account buying without losing customer confidence or continuity.

2
Month project
Kickoff to go-live
1
Platform
Adobe Commerce
4
Commerce models
B2B, B2C, Trade account and Marketplace
3
Services
Build, Support and PIM & Data. Production-grade build with senior technical oversight.
Read onWhat was actually wrong, what we did, and what could have gone wrong.
02
The problem

What was actually wrong.

Most commerce problems are not just front-end problems. They sit between how customers buy, how teams work, and how the systems behind the business behave.

Craigmore needed an ecommerce platform that could carry trade account ordering, repeat purchase patterns and operational reporting expected by a Builders & trade business.

This was not a brochure storefront. Buyers arriving for a specific item needed enough product information and context to identify it with confidence, while stock, account pricing and purchase history had to support the same buying decision.

Order flow, stock and customer data crossed several back-office systems, so integration boundaries and operational handoffs likely shaped how the platform was built.

Trade buyers and account customers needed account-based pricing, repeat ordering and visibility of their own purchase history without friction.

Stock was not one flat number. Depot location, availability and fulfilment context had to remain meaningful so customers and order teams could rely on what the platform showed.

Business customers also needed the platform to reflect how they buy: parent and child account relationships, repeat purchase, order history, account documents and the correct pricing and stock context.

Account-led ordering and self-serve buying had to live on the same stack without one audience compromising the other.

The platform change also depended on product information being structured, enriched and governed well enough to support the catalogue. Product data was a major workstream within the wider commerce delivery, not a separate outcome claim.

03
The risk

What happens if it isn't fixed.

When those gaps are left alone, the website becomes the place where operational problems show up. That can mean unclear data, pricing questions, repeated support queries and customers who cannot complete the job they came to do.

When account-based pricing, repeat ordering and purchase-history visibility slip, trade and account customers lose confidence in the site and push work back onto sales and support.

Most relevant to Builders & trade teams running B2B, B2C and trade-account operations and weighing similar platform decisions.

If catalogue and operational data drift, buyers can lose confidence in product information, pricing, stock and purchase history. That can delay or abandon an order, while internal teams absorb the uncertainty through manual checking and customer service.

For repeat buyers and trade accounts, uncertainty creates friction every time an order is placed again. Wrong-part risk, unclear account terms and a harder repeat-order path can frustrate buyers and move the burden back to account teams and support.

Trade accounts do not give second chances. A bad first experience pushes the order to a competitor and the relationship rarely comes back.

04
The work

Five things, in order.

Delivery is not just a list of features. The order matters, because the wrong sequence can turn technical dependencies into business risk.

  1. 01
    Mapped the buying journey before the interface
    Started with how customers actually order here: account relationships, repeat-buy patterns and the operational context behind each purchase. Purchase history, documents and parent-child account behaviour had to support the journey rather than sit outside it.
  2. 02
    Rebuilt the commerce foundation around how the business operates
    Rebuilt the commerce surface inside the operating business, not as a standalone project.
  3. 03
    Brought product data into one governed workstream
    Product information, enrichment and catalogue structure were treated as a delivery workstream that enabled the commerce change. Technical data and downloads had to remain connected to the product context buyers used to identify the right item.
  4. 04
    Scoped the rules per audience, not per platform
    Account-led ordering and self-serve buying were shaped as distinct journeys on the same foundation. Local catalogue, depot, inventory, delivery and pricing rules had to remain coherent for the buyer context in front of the screen.
  5. 05
    Moved the project into support with the operating context intact
    Handover preserved the operational decisions made during build, so support could keep moving the platform forward without re-learning the business.
05
Systems

Systems, one operational truth.

The customer-facing platform was one part of the operating system. The project also depended on operational data, product information, inventory and communication systems, with clear boundaries for what each one supported and what customers could rely on.
Adobe Commerce (Powered by Magento)
Customer-facing commerce platform
Provided the customer-facing commerce platform for catalogue, account and ordering journeys. The platform could only present information it received from the operational and product systems around it. It mattered because a mismatch could become visible through product, account, stock or order information.
Custom Order Management (OMS)
Order management integration
Connected order management as part of the operational flow around commerce. Order journeys depended on a clear handoff between the customer-facing platform and order processing. It mattered because a mismatch could become visible through product, account, stock or order information.
06
Risk control

Where this could have gone wrong.

Difficult parts of a project need to be named early. That gives the team a shared view of the risks, the decisions needed, and the areas that cannot be left vague.
Account ordering
B2B and direct buying shared a platform, but account hierarchies, purchase history, documents, pricing and order paths could differ sharply by buyer. How we held it: Model account relationships and permissions explicitly, then test repeat-order and self-serve journeys against the correct customer, price and document context.
Product information
Catalogue structure, technical content and operational product data could move at different cadences. Drift risks putting incomplete, inconsistent or misleading information in front of a buyer choosing a specific item. How we held it: Separate ownership for product content, technical data, stock and price, then make each storefront dependency visible and reviewable through the product journey.
Timeline
The recorded project length set a fixed delivery context for a broad platform and integration scope. How we held it: Sequence decisions around the highest operational dependencies and flag any scope trade-off for editorial review rather than claiming an undocumented method.
Stock and pricing
Availability and price could vary by account, catalogue, depot or inventory source. A flattened view risks presenting a value that is technically current but wrong for the buyer in front of it. How we held it: Preserve the buyer and location context behind stock and pricing, define the source for each value and test how fallbacks behave when an operational update is late.
Support ownership
After launch, unclear ownership across parts data, pricing imports, inventory feeds and account behaviour could make operational faults slower to understand and resolve. How we held it: Carry the system boundaries, data ownership and recovery decisions into support so the team inherits the operating model as well as the platform.
07
Outcome

Measurable, not adjectival.

The useful proof is not a bigger adjective. It is the project shape, the systems involved, the trading model supported and, where available, the numbers recorded from the work.

2
Month project
Kickoff to go-live
+23%
Of revenue from search
Improvement recorded after launch
1x
System integration
Custom Order Management (OMS)
+18%
Add to checkout
Improvement recorded after launch
1x
Platform
Adobe Commerce
+65%
Data management tasks put in the hands of experts
Improvement recorded after launch
08
In their words

What the client said.

A client quote should support the case study, not carry it. The project story still needs to stay grounded in the work that was delivered.

When it comes to agency relationships, technical capability, and digital know-how, iWeb was much more organised than anything we had encountered before.
Joyrdan Baird, eCommerce Manager, Craigmore
09
After launch

What moved into support.

A project like this does not stop mattering at launch. The same catalogue, account, integration and trading logic has to keep working once real customers and internal teams are using it.

The project did not end when the platform went live.

Support mattered because the builders and trade still depended on parts data, pricing imports, account behaviour, inventory feeds, integrations and customer-facing information after launch.

Keeping the build decisions and system ownership visible gave the support team a clearer basis for tracing issues and maintaining the connected trading system after launch.

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