EDBWN worked with Belazu to integrate REKKI Order AI into their ordering process through Defacto ERP.
Client: Belazu
Sector: Food ingredient supplier serving supermarkets and restaurants
Scope: Bespoke Software, AI, Modernisation, Integration, Support
EDBWN worked with Belazu to integrate REKKI Order AI into their ordering process through Defacto ERP.
REKKI Order AI reads incoming customer emails and creates structured orders from them. Once an order was created, it was sent into EDBWN’s integration layer, where it could be validated and saved into Belazu’s Defacto ERP system.
Belazu wanted to improve the way customer orders were processed.
A large part of the ordering process relied on emails being read, interpreted, and manually entered into their ERP system. This created a time-consuming process for the team and left room for mistakes, especially when dealing with different customer formats, product details, pricing rules, and operational exceptions.
REKKI Order AI helped solve the first part of the problem by reading customer emails and turning them into structured orders. However, those orders still needed to be validated, priced correctly, and safely created inside Defacto ERP.
Belazu needed an integration that could sit between REKKI and Defacto, protect the business from incorrect or incomplete order data, and allow more orders to move through the process with less manual intervention.
The biggest challenge was understanding and mapping Belazu’s order creation process in detail.
Many parts of the process had previously been handled manually by the team, including a wide range of edge cases that relied on human judgement and business knowledge. To make the integration successful, those scenarios needed to be understood, structured, and built into the automated flow so that orders could be created safely and consistently inside Defacto ERP.
This was especially important because the project involved AI-generated orders. The integration needed to support automation, but also protect the business from incorrect data, missing information, pricing issues, or operational exceptions.
EDBWN built a microservice backend with a well-documented API that allowed REKKI to send AI-generated orders directly into Belazu’s order processing flow.
Once an order was received, the integration ran a series of business validations to make sure the order could be fulfilled correctly by Belazu. This included checking that the order data was suitable for Defacto ERP, that the right operational events were raised when needed, and that exceptions could be handled safely rather than silently failing.
We also implemented a comprehensive pricing engine to make sure each order was saved with the correct price. This was a critical part of the project because pricing needed to reflect Belazu’s business rules accurately before the order was committed into the ERP system.
The backend was designed using a microservice architecture involving queues and triggers. This made the integration more resilient, ensuring orders would not be lost even if another system was temporarily unavailable.
The result was a faster and more reliable order processing flow for Belazu.
Orders could now move from REKKI Order AI into Defacto ERP with fewer manual steps and fewer mistakes. Some orders are able to pass through the entire process without any human intervention, helping Belazu reduce manual workload while still keeping the right checks and validations in place.
The integration also gave Belazu a more resilient order flow. By using queues and triggers, the system was designed so that orders would not be lost if another part of the process was temporarily unavailable.
We worked in an Agile environment, following SCRUM rituals throughout the project.
Communication was especially important because the project involved Belazu, EDBWN, and a third-party provider. We kept responsibilities clear, made sure each team understood what they owned, and worked from a solid plan so the integration could move forward smoothly.
This collaborative approach helped us map the real business process properly, handle edge cases with care, and deliver a solution that worked reliably within Belazu’s existing operations.
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