
From PDF orders in email to created orders in Visma, with no manual entry.
Solstickan Design receives orders by email from around 250 resellers, including Cervera, Åhléns, Nordic Nest and independent interior shops. The orders arrive both as PDF attachments and as plain text in emails. In some cases SKUs or full order details are missing, which previously required manual interpretation before the order could be registered in Visma.
Today around 90 percent of the order flow is handled automatically. An AI agent reads incoming emails every 15 minutes, parses the order, identifies customer, articles and quantities, and creates the order directly in Visma.net ERP. If anything is unclear, the flow is paused and the AI notifies the team for confirmation before the order proceeds.
Solstickan is a Swedish design brand with roots in the classic matchbox from 1936. Today the business is run by Tradingbox AB in Arninge, Täby. The company develops and sells home and gift products to retailers like Nordic Nest, Cervera and Åhléns, as well as through its own online channel.
"I used to spend an hour and a half every morning entering orders into Visma. Now it just happens without me touching it. Tobias understood how we work, finished in a few days, and didn't overcomplicate it. Sharp expertise and easy to work with."
— Paul Maielli, CEO, Solstickan Design / Tradingbox AB
Read Paul's own words on Solstickan Design's websitePDF orders arrived by email and were handled manually in Visma. Each order took around 4 minutes to register. When SKUs were missing, staff had to interpret what the customer meant, which increased the risk of errors and created bottlenecks at higher volumes.
The AI agent reads emails and attachments, interprets even unclear orders, matches products and creates the order automatically in Visma. On exceptions or uncertainty, the team is notified and the order is paused until confirmed.
Runs every 15 minutes
Automatic with checks on exceptions
Fewer errors and higher quality
More time for customer relations, sales and development
Scalable flow that handles seasonal peaks