Bytebard Data Mesh
Unify data across ERP and commerce for AI decisions
Bytebard Data Mesh connects to your existing systems rather than replacing them.
Built for AI decision systems, not reporting layers, so data is structured for live operational decisions rather than static dashboards.
Bytebard Data Mesh acts as the integration layer, using APIs, webhooks, and data pipelines to connect everything in your ecosystem. It works with modern SaaS and decades-old custom-built infrastructure alike.
Built for organisations that can't afford to start over.
Your systems connected through a unified data layer
What you get
The Data Mesh normalises data across sources, making everything accessible to decision-support tools regardless of where it lives. Product information from your PIM, customer data from your CRM, orders from your ecommerce platform, inventory from your ERP - all unified into a single, governed foundation.
This foundation powers the AI and decision intelligence capabilities across the WithPraxis platform. Without clean, connected data, those tools have nothing to work with.
Core capabilities
Universal Connectivity
APIs, webhooks, and data pipelines that connect to any system, modern SaaS or decades-old infrastructure.
Data Normalisation
Transforms disparate data formats into a consistent structure accessible to all decision-support tools.
Governed Access
Controls who can see and modify what, ensuring data integrity across distributed systems.
LLM-Ready Preparation
Structures and enriches data specifically for consumption by AI and language models.
How customers use the Data Mesh
B2B distributor (£50M revenue, 400 customers)
Challenge: Order data manually re-entered across ERP, commerce platform, WMS, CRM, and accounting. 8-hour order-to-fulfilment cycle. Frequent data entry errors.
Solution: Bytebard Data Mesh connecting all five systems with unified data flows and automated synchronisation.
Outcome: Order-to-fulfilment time reduced from 8 hours to 45 minutes. Data entry errors down 95%. Real-time inventory visibility across all channels.
Multi-channel retailer (web, stores, wholesale)
Challenge: Inventory not synchronised across channels, overselling common, customer service couldn't see complete order history.
Solution: Bytebard Data Mesh providing unified customer and inventory data across all channels with real-time sync.
Outcome: Overselling incidents down 90%. Customer service resolution time reduced 60%. Inventory accuracy 99%+.
Foodservice operation (12 locations, 2,000 orders daily)
Challenge: Menu pricing updates required manual changes in three systems. Delivery routing not optimised. Reporting delayed 24-48 hours.
Solution: Bytebard Data Mesh with automated data synchronisation and real-time reporting across legacy ERP, commerce platform, and logistics system.
Outcome: Pricing updates 10x faster. Delivery routing optimised (15% cost reduction). Real-time operational dashboards.
Integration compatibility
We're platform-agnostic. If your system has an API, a database, or even just a file export, we can connect to it.
Here are some of the systems our customers commonly use - but this list is not exhaustive.
Ecommerce platforms
Product information management
Enterprise resource planning
Customer relationship management
Marketplaces
Operational systems
Don't see your system? We can still connect to it.
Our approach
When you add a new data source to the mesh, all connected tools immediately gain access to that data. When you build a new decision-support tool, it automatically has access to everything the mesh knows.
One integration layer. Everything connected. No redundant pipelines.
- No rip-and-replace, your existing systems continue to operate
- No forced migrations, we connect to what you have
- Progressive enhancement, start with one connection, add more as needs grow
The result is a unified data foundation that grows with your organisation.
How we work together
We take a phased approach: connect to your existing systems, map data flows, configure transformations, deploy integrations, and monitor and optimise.
Every implementation is different. Timeline and scope depend on your systems, data quality, and integration complexity. We will work with you to define the right approach.
What is typically required:
- Access to systems needing integration (APIs, databases, or file exports)
- IT team involvement for authentication and security
- Sample data for mapping and testing
- Operations team time for validation
Investment and timeline depend on your specific requirements. Let us discuss your systems and determine if this fits.
"We connected seven systems in three months. Now every decision tool sees the same data without maintaining separate integrations."
CTO, Industrial Distribution (Global)
Common questions about the data layer
Common questions about the data layer
What does the data layer do for operational decisions?
The data layer connects product, stock, order and customer data from ERP, WMS and commerce systems into a structure that supports pricing, inventory and fulfilment decisions. It exposes data in the shape each decision needs, rather than as static reports.
Does it replace our existing data platform or warehouse?
No. It works alongside existing data platforms, warehouses and lakes. The focus is aligning data to specific operational decisions in pricing, inventory and fulfilment, not replacing the infrastructure that already stores it.
How is this different from a reporting or analytics layer?
Reporting and analytics layers explain what already happened. This layer is built to support how the next pricing, inventory or fulfilment decision is made, including the inputs, the timing and the consistency of those decisions across the business.
Do we need to rebuild our data architecture to use it?
No. The data layer uses your existing ERP, WMS, commerce and operational systems as sources. Implementation focuses on structuring and connecting that data for decision use, not on a multi-year data rebuild.
Connect your systems today.
Let's discuss how the Data Mesh can unify your tech stack.
Get in touch