Skip to main content
Talk to an expert
Work/Scruffs
PIM & DataBuilders & tradeCW-090-PD-BT

Scruffs: rebuilding builders and trade around operational buying.

A 3-month Adobe Commerce (Powered by Magento) build for builders and trade, shaped around product information and catalogue governance, connected operations and B2B, B2C and D2C buying.

Scruffs's operating scale meant the commerce platform had to support product information and operational systems without losing customer confidence or continuity.

3
Month project
Kickoff to go-live
1
Platform
Adobe Commerce
2
System integrations
Microsoft Dynamics ERP and Custom Order Management (OMS)
3
Commerce models
B2B, B2C and D2C
Read onWhat was actually wrong, what we did, and what could have gone wrong.
02
The problem

What was actually wrong

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

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.

The commerce layer had to sit cleanly alongside ERP, without turning every operational dependency into a launch risk.

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

A new commerce surface had to land cleanly inside an operating business, not as a standalone project.

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 was at stake

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 D2C operations and weighing similar platform decisions.

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

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.

04
The work

Five things, in order.

  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.
  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
    Connected the systems that the storefront cannot work without
    The commerce layer had to sit cleanly alongside ERP without coupling the launch to every system on day one.
  4. 04
    Brought product data into one governed workstream
    Product information, enrichment and catalogue structure were treated as a delivery workstream that enabled the commerce change.
  5. 05
    Scoped the rules per audience, not per platform
    Account-led ordering and self-serve buying were shaped as distinct journeys on the same foundation.
05
Systems

Platforms and integrations

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.
Microsoft Dynamics ERP
Operational business data system
Provided operational context for account, order, pricing and fulfilment data used by the commerce experience. Commerce depended on an agreed boundary between ERP-held business data and the customer-facing platform. It mattered because a mismatch could become visible through product, account, stock or order information.
06
Risk control

Difficult parts

ERP dependency
Account, order, pricing and fulfilment data depended on the ERP boundary. A stale or ambiguous hand-off could surface as the wrong account context, order state or delivery expectation. How we held it: Define which operational fields the ERP owns, how commerce consumes them and how failed or delayed exchanges are identified before they affect an order.
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.
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

Results

3
Month project
Kickoff to go-live
+32%
Sales from page load times
Improvement recorded after launch
2x
System integrations
Microsoft Dynamics ERP and Custom Order Management (OMS)
+46%
Add to checkout
Improvement recorded after launch
1x
Platform
Adobe Commerce
12x
Pricing imports
Faster pricing imports through API and webhook calls
08
Client feedback

In the client's words

iWeb have been our partner now for more than 15 years. In all honesty we haven’t been able to find a better digital partner. They've delivered, they are a talented team and they've grown in line with our expectations.
Chris Mellor-Dolman, Head of Marketing, Scruffs
09
After launch

Ongoing support

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.

Next step

A project that looks like this one?

Send us the brief. You'll get a written response from a senior expert, usually within two working days.