The platform
Modular AI for pricing, inventory and fulfilment decisions
This platform is a connected suite of capabilities built to help organisations make better decisions - through better data infrastructure, decision-support tools, and operational intelligence.
It was designed from operational experience inside complex organisations, addressing the specific problems that arise when data is fragmented, decisions lack clear ownership, and execution depends on manual coordination.
Each piece exists to solve a real problem. Use what you need.
Used to reduce stockouts, tighten pricing response and lift margin without adding manual work.
Bytebard Data Mesh
Platform-Agnostic Integration
Connects your entire tech stack, ecommerce platforms, PIMs, ERPs, CRMs, and marketplaces, without forcing migrations. Creates a unified data foundation for AI-powered decision tools. Connects ecommerce platforms (Shopify, Magento, Adobe Commerce), PIMs (Akeneo, inriver, Salsify), ERPs (SAP, NetSuite, Microsoft Dynamics), CRMs (Salesforce, HubSpot), and operational systems into a unified, queryable data layer.
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Data Validation & Standardisation
Appends firmographic and demographic data to existing records. Validates, standardises, and fills gaps to improve data quality across customer and business profiles. Appends company size, industry classification, and revenue data to B2B accounts. Validates contact information, standardises address formats, and fills demographic gaps in customer profiles.
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Unified Customer Data
Tools for consolidating customer interactions across touchpoints into a unified view. Manages connections between CRM, marketing, and commerce systems to support consistent customer understanding. Consolidates customer interactions from commerce platforms, support tickets, email engagement, and sales activity into unified profiles used across marketing, service, and sales teams.
Learn moreCustom LLM Deployment
Organisation-Specific Models
Deploys language models trained or fine-tuned for your specific domain within your infrastructure. Keeps sensitive data internal while enabling AI-powered capabilities. Trained on your product catalogues, customer data, internal documentation, and decision histories to answer business-specific questions and support domain-specific workflows within your infrastructure.
Learn moreHow this works together
Data Mesh makes information accessible and LLM-ready. Enrichment adds intelligence to records. CRM and CDP integration creates a unified customer view.
From this foundation, Insights surfaces patterns. Forma and Ideation provide frameworks for decisions. Commerce capabilities execute against enriched data.
Nothing requires ripping out existing systems. The platform connects to what you have.
Most initial conversations cover:
- Your current tech stack and integration requirements
- Specific decisions where clarity is needed
- Realistic timelines and implementation approach
"The platform connected to everything we already had - Shopify, NetSuite, Salesforce, our custom WMS. No rip-and-replace, just better connections."
Operations Director, D2C Retail (Global)
Common questions about the platform
Common questions about the platform
Does the platform replace our ERP, WMS or commerce system?
No. The platform sits alongside existing ERP, WMS and commerce systems and structures the operational decisions made between them, including pricing, inventory and fulfilment choices. Core infrastructure stays in place.
What data does the platform need?
It uses the data already used to support pricing, inventory and fulfilment decisions, such as product, stock, order and customer data from your ERP and commerce platform. The work is structuring and aligning that data to specific decisions, not rebuilding your data architecture.
How is this different from a data platform or BI tool?
Data platforms and BI tools organise and expose data. The WithPraxis platform structures how operational decisions are made using that data, defining the inputs, ownership and measurable outcomes for each pricing, inventory or fulfilment decision.
Where does implementation typically start?
Implementation starts with one operational decision where the impact is already visible, for example a pricing rule, a stock allocation policy or a fulfilment routing choice. The platform is applied around that decision before extending to others.
Let's discuss how it connects.
Talk to us about your systems and where you need clarity.
Get in touchAbout WithPraxis
WithPraxis is an employee-owned, experience-led consultancy. We are independent and platform-agnostic, focused on helping organisations where decisions matter and ambiguity is expensive.
Learn more about us