Brightpearl
Proactive audit of Brightpearl configurations, data integrity, and process flows reveals hidden risks and inefficiencies before they impact operations.
Our operators identify core issues across inventory, order-to-cash, procurement, and financial reporting.
Trusted by ambitious retail brands
Audit Approach
A structured audit engagement to diagnose operational gaps, integration issues, and data inconsistencies that undermine your Brightpearl’s performance.
Comprehensive review of your existing Brightpearl setup, integrations, and operational workflows.
Pinpointing areas of potential failure, inefficiency, or non-compliance within your Brightpearl ecosystem.
Actionable recommendations to enhance your Brightpearl's stability, efficiency, and reporting accuracy.
Why Cogent2
Retail systems, particularly ERPs like Brightpearl, often accumulate technical debt and operational workarounds over time. Our audit exposes where initial configurations, team turnover, or business growth have introduced risk, reporting gaps, and manual effort.
20+ Years
Retail Operation Experience
Operator-led
Engagement Model
Multi-System
Ecosystem Perspective
Holistic
Data & Process Review
Our audit process is enhanced by CogentAI, providing a deeper layer of analysis. It helps rapidly identify anomalies, trend deviations, and potential bottlenecks in Brightpearl data and process logs that human analysis might overlook.
"CogentAI augments our human auditors, enabling faster diagnosis of system health to deliver more acute and data-informed recommendations."
Comparative Brightpearl performance insights using CogentAI
Audit Capabilities
A Brightpearl audit extends beyond technical checks; it assesses the full spectrum of operational, financial, and procedural integrity.
Connected Ecosystems
A Brightpearl audit always considers interconnected platforms, as errors in one system often cascade across the ecosystem.
Ecommerce
Marketplace
Fulfilment & Logistics
Customer Experience
Integration & Intelligence
Operational Intelligence
These operational misalignments commonly create financial exposure and labour waste for Brightpearl users, and are a core focus of our audit work.
Impact: Lost sales, customer dissatisfaction, inaccurate financial reporting, inflated working capital on dead stock.
Cogent Approach: Review goods-in and returns workflows; validate stock adjustment permissions; implement automated cycle count reconciliation rules within the Brightpearl WMS.
Impact: Poor pricing decisions, inaccurate business forecasting, reduced cash flow visibility, potential overpayment of taxes.
Cogent Approach: Audit landed cost setup accuracy; trace COGS data flow from PO to sales order; develop custom reports for granular margin analysis by channel.
Impact: Delayed order fulfilment, increased labour costs, customer complaints, operational frustration.
Cogent Approach: Consolidate and simplify Automation Engine logic; document all active rules and their interdependencies; establish a testing protocol for new rule deployments.
Impact: Data security breaches, fraud risk, compliance failures, audit findings.
Cogent Approach: Revise user roles based on 'least privilege' principle; implement a clear segregation of duties matrix; schedule regular access reviews and audit trail monitoring.
Deep Audit Expertise
Our audit goes beyond surface-level checks, employing a detailed framework to assess the health and security of your Brightpearl setup. We focus on areas that most significantly impact operational efficiency and financial accuracy.
Strategic Auditors
Operators with deep Brightpearl configuration expertise, capable of assessing system architecture.
Process Architects
Specialists who map and optimise complex Brightpearl workflows across departments.
Commercial Analysts
Experts in Brightpearl financial data, ensuring accurate P&L and balance sheet reporting.
Clean Data Foundation
Process Standardisation
Enhanced Data Visibility
Predictive Capability
Future-Ready Operations
A thorough audit ensures your Brightpearl data is clean, consistent, and structured correctly for future AI adoption. Poor data quality surfaced during an audit will directly impede the effectiveness of any AI-driven insights or automations.
Our audit process specifically flags areas where data normalisation, field usage, and historical consistency need improvement. This provides a clear roadmap for ingesting your Brightpearl data into advanced analytics and machine learning tools, enabling predictive inventory management or customer segmentation.
Knowledge Base
Working Together
Focus intently on specific Brightpearl functions: e.g., inventory, accounting flows, or a particular integration channel.
A full, end-to-end review of your Brightpearl setup, covering all modules, data flows, and integrations.
Ongoing partnership for regular system health checks, performance reviews, and proactive issue detection via CogentAI.
Don't let hidden inefficiencies or data discrepancies erode your retail margin. An experienced, objective audit can identify the core issues and set a clear path for better performance.
