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commerce operations
All articles tagged with "commerce operations".
Commerce operations insights and applications
Unified Commerce Intelligence: Orchestrating Revenue Across Omnichannel B2B Transactions
A £60M foodservice distributor processes orders through four channels: Shopify Plus, EDI feeds, phone, and WhatsApp. Each channel lands in a different system. Web orders sync to the ERP overnight. EDI orders arrive every 15 minutes but don't update inventory visibility until the next batch run. Staff key phone orders directly into the ERP. Staff transcribe WhatsApp orders into a spreadsheet, then manually enter them. The operations director calculated the cost. Pricing inconsistencies between channels cost £180K annually in margin leakage. A customer quoted £4.20/kg for chicken thighs on the phone receives a different price (£4.45/kg) when they order the same product via the website three days later. They call to query it. The phone team has no visibility of the web order. They create a second order. By the time staff spot the duplicate, the customer has been invoiced twice and the stock has been picked. Resolution takes 90 minutes and involves three people.
Platform capabilities and technical insights
System Integration Challenges: When Legacy Meets Modern AI
A legacy ERP connects to a modern AI pricing platform. A field mapping breaks. Prices don't update. Nobody notices for 48 hours. By then, £15,000-£30,000 in margin has leaked. Silent failures are worse than loud ones because they compound. Real-time data observability makes these failures visible and resolvable before they cost money.
Platform capabilities and technical insights
LLM Observability: Why Custom AI Models Need Different Monitoring
Custom AI models degrade silently in production. Most mid-market distributors discover this weeks after the damage begins—when pricing errors accumulate, inventory misallocates, or search results decay. Model drift is silent cost leakage that compounds over time.
Platform capabilities and technical insights
Event-Driven Architecture: Real-Time Commerce Operations at Scale
A West Midlands foodservice distributor runs seven systems: SAP for ERP, Shopify Plus for commerce, Manhattan for warehousing, Salesforce for CRM, Xero for accounting, Akeneo for product data, and a legacy routing tool built in-house. None of them talk to each other in real time. Pricing updates take three days. Inventory visibility lags 24 hours behind actual stock. The operations director spends Monday mornings reconciling conflicts created by systems working from different versions of the truth. This is the middleware bottleneck. Mid-market B2B distributors have invested in best-of-breed systems but lack the integration layer to connect them. The B2B middleware market reached £14.1 billion in 2025, growing at 12.23% annually (MarketsandMarkets, 2024). That growth reflects a painful reality: buying good systems is easy, making them work together is not. Event-driven architecture promises to solve this. Order placed, inventory updated, fulfilment triggered, customer notified—all in real time. But most mid-market stacks lack the middleware to orchestrate that sequence. Without it, teams fall back to manual processes and the operational friction compounds.
Platform capabilities and technical insights
Composable Commerce Architecture: Building Modular Systems That Evolve With Your Business
A Midlands foodservice distributor spent £240,000 recovering from a pricing error in 2024. Their monolithic commerce platform took three days to update prices across 12,000 SKUs. Commodity costs moved faster than their approval cycle. By the time new prices went live, margins had eroded. The problem wasn't the platform. It was the architecture. Pricing, inventory, and order management sat in one system. Upgrading the pricing engine meant ripping out everything else. The platform vendor quoted 18 months and £180,000 for a custom pricing module. The distributor couldn't wait that long. This is the composable commerce question: when one component fails, can you swap it without dismantling the entire system?
Operational workflow improvement
Why Big 4 Consultancies Can't Solve Operational Workflows
Strategy consultants excel at organisational design but struggle with operational systems that turn data into action. Most mid-market distributors need faster pricing decisions, not transformation roadmaps.
Platform capabilities and technical insights
Real-Time Commerce Operations: Moving Beyond Static Dashboards
Most distributors manage operations through yesterday's reports. Morning meetings review exceptions, investigate anomalies, and plan interventions - all based on data that's already 12-18 hours old. Real-time operational intelligence transforms everyday work from reactive problem-solving to proactive opportunity capture.
WithPraxis
Data Quality: The Foundation Every AI Project Needs
Eighty percent of AI initiatives fail before reaching production. The culprit isn't model complexity - it's bad data. This article examines what proper data quality assessment looks like, how migration transforms messy data into AI-ready systems, and what governance means for mid-market distributors.
Operational workflow improvement
Why Workflow Delays Cost More Than Bad Choices
Workflow delay costs more than bad decisions. While businesses obsess over accuracy, slow approval cycles erode margins daily. Commerce operations that reduce decision time by 60-80% see immediate financial returns through faster pricing, inventory allocation, and campaign responses.
Commerce operations insights and applications
Quote-to-Cash Intelligence: Why Manual Quotation Processes Kill B2B Deals
Three days to generate a B2B quote while competitors respond in hours. Manual quotation processes create systematic disadvantage - delayed responses, pricing errors, approval bottlenecks. Intelligent automation transforms quote generation from operational burden to competitive advantage.