What was actually wrong
Roadtown Wholesale needed an ecommerce platform that could carry trade account ordering, repeat purchase patterns and operational reporting expected by a Food & beverage 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.
The commerce layer had to sit cleanly alongside Multi-depot Inventory and Custom Order Management (OMS), without turning every operational dependency into a launch risk.
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.
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 Food & beverage teams running B2C, B2B 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.
Once a buying habit moves elsewhere it is expensive to win back. The consequence of inaction is not dramatic; it is cumulative.
Five things, in order.
- 01Mapped the buying journey before the interfaceStarted 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.
- 02Rebuilt the commerce foundation around how the business operatesRebuilt the commerce foundation around the operational logic the business already depended on, without resetting what already worked.
- 03Connected the systems that the storefront cannot work withoutThe commerce layer had to sit cleanly alongside Multi-depot Inventory and Custom Order Management (OMS) without coupling the launch to every system on day one.
- 04Brought product data into one governed workstreamProduct information, enrichment and catalogue structure were treated as a delivery workstream that enabled the commerce change.
- 05Scoped the rules per audience, not per platformAccount-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.
Platforms and integrations
Difficult parts
Results
In the client's words
Not only did we need a solution provider, but also a true partner. Due to tight timelines, we needed to get up-and-running quickly on a new Adobe Commerce platform and iWeb was the right choice.”
Ongoing support
The project did not end when the platform went live.
Support mattered because the food and beverage 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.





