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Work/Rimstyle
ReplatformAutomotive & partsCW-109-RP-AU

Rimstyle: rebuilding automotive and parts around catalogue depth and account buying.

A 12-month Adobe Commerce (Powered by Magento) replatform for automotive and parts, shaped around catalogue depth, catalogue governance, account ordering, technical product information and B2B, B2C and Retail buying.

Rimstyle'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.

12
Month project
Kickoff to go-live
1
Platform
Adobe Commerce
1
System integration
Custom Order Management (OMS)
3
Commerce models
B2B, B2C and Retail
Read onWhat was actually wrong, what we did, and what could have gone wrong.
02
The problem

What was actually wrong

Rimstyle needed a commerce platform that supported the Automotive & parts business model and the trading patterns of its customers.

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.

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 was at stake

Unclear product, pricing or fulfilment information can create friction before an order is placed.

Most relevant to Automotive & parts teams running B2C and marketplace 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.

Once a buying habit moves elsewhere it is expensive to win back. The consequence of inaction is not dramatic; it is cumulative.

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. 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 foundation around the operational logic the business already depended on, without resetting what already worked.
  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

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.
06
Risk control

Difficult parts

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

Results

12
Month project
Kickoff to go-live
+120%
Purchases on mobile
Improvement recorded after launch
1x
System integration
Custom Order Management (OMS)
+140%
Speed of time to market
Improvement recorded after launch
1x
Platform
Adobe Commerce
+78%
Improved automation & governance
Improvement recorded after launch
08
Client feedback

In the client's words

iWeb delivered digital transformation across Rimstyle's operations to create a more effective, streamlined, and scalable model. Our collaboration spanned multiple services including; application development, infrastructure, testing, blockchain, and improved business intelligence.
Toby Woods, Director, Rimstyle
09
After launch

Ongoing support

The project did not end when the platform went live.

Support mattered because the automotive and parts 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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