Client results

What clients say after the work is done

We don't do case studies, our clients prefer discretion.

But they're happy to share what changed.

Client results

Measurable outcomes from recent engagements. Client identities protected.

Foodservice distribution·£60M–£100M revenue, 300–500 employees

Pricing decisions took 3 days per cycle. Spreadsheet updated, emailed for approval, queried, corrected, re-approved, uploaded. Volatile commodity prices meant margins eroded before changes went live. £200K+ annual margin leakage from pricing errors and delays.

Pricing decision time: 3 days → 30 minutes. 6% margin improvement. 90%+ elimination of pricing errors. £180K–£240K annual margin recovered.

Delivered in 6 weeks pilot on one product category, 90 days full deployment

Building materials / construction supply·£40M–£80M revenue, 200–400 employees

Mixed-load deliveries (bricks, timber, cement) with site access constraints and trade pricing complexity. Routing done manually based on driver knowledge. High fulfilment costs and missed delivery windows.

18% fulfilment cost reduction. 30% faster delivery times. 98%+ on-time delivery rate. Route efficiency improved 40–60%.

Delivered in 8 weeks pilot, 120 days full deployment

Fashion & lifestyle retail·£20M–£60M revenue, 100–300 employees

Markdown decisions driven by gut feel and calendar. Clearance took too long, tying up cash in slow-moving stock. End-of-season write-offs were 15–20% of seasonal buy.

8% margin improvement through markdown optimisation. Inventory clearance 25% faster. Seasonal demand forecasting 85% accurate.

Delivered in 4 weeks pilot, 60 days full deployment

Industrial distribution / manufacturing supplies·£80M–£150M revenue, 400–600 employees

Trade customers couldn't find products online. Search was keyword-based and failed on part numbers, specifications, and cross-references. 60%+ of orders still placed by phone because the website search was unusable.

Search relevance up 40–60%. Product discovery significantly improved. 25% reduction in phone orders as customers shifted to self-service. Customer satisfaction scores increased.

Delivered in 6 weeks pilot, 90 days full deployment

Multi-sector B2B distribution·£30M–£80M revenue, 150–400 employees

Data spread across 5 systems (ERP, commerce platform, WMS, CRM, accounting). No single source of truth. Teams worked from different numbers. Integration maintained by one person who was a single point of failure.

Integration time reduced 60%. Real-time data visibility across all systems. Error reduction 95%. Single source of truth established. <5 second data freshness.

Delivered in 8 weeks to connect all 5 systems

Cross-sector (typical B2B commerce)·£30M–£200M revenue

Operational decisions had no clear ownership. Pricing, fulfilment priority, inventory allocation, and credit approval were all "shared responsibility" — meaning nobody was accountable. Same questions got revisited monthly without resolution.

40–60 operational decisions identified and categorised. 60–80% of decisions had automation or clarification potential. Decision ownership assigned. 25–40% reduction in operational decision time within 90 days.

Delivered in 1-day workshop + 2 weeks documentation

Decision clarity

"We thought we had a data problem. WithPraxis showed us we had a decision problem. The data was there; we just couldn't see who was supposed to act on it."

Operations Director, Consumer Goods

"They mapped every decision we make in fulfilment. Turns out half of them had no owner. That was the breakthrough."

VP Supply Chain, Fashion Retail

"For years we blamed the ERP. The real issue was nobody knew whose call it was when stock ran low. Now it's obvious."

Commercial Director, Building Materials

"The audit took two weeks. We'd spent eighteen months arguing about dashboards that weren't the problem."

Head of Digital, Industrial Distribution

"They asked one question we'd never considered: who decides, and when? Everything else followed."

COO, Hospitality Group

On AI readiness

"The readiness assessment surfaced that our real bottleneck wasn't data—it was unclear ownership. That reframe saved us from a failed pilot."

Programme Director, Financial Services

On decision mapping

"The decision map exposed three approval bottlenecks we didn't know existed. Fixing those alone saved us two weeks per product launch."

VP Operations, Consumer Goods

On data quality

"We thought our product data was ready. The quality audit found 40% of records had missing attributes. Better to know that before feeding it to AI."

Head of E-commerce, Consumer Electronics

On vendor evaluation

"The evaluation saved us from a £200k mistake. The vendor that demoed best would have been a nightmare to integrate."

CIO, Professional Services Firm

Practical outcomes

"The pricing tool is used 40+ times a day. That's the test. Not whether it launched, but whether it stuck."

Pricing Manager, Wholesale Distribution

"Eighteen months on, the application still runs every morning. That never happened with our previous builds."

Head of Commercial, Manufacturing

"We stopped calling it a project after month three. It's just how we work now."

Category Director, Grocery Retail

"The tool didn't just get adopted—it changed how the team thinks about margin decisions."

Finance Director, Industrial Supplies

"First time we've built something internally that operations actually wanted to keep."

CTO, Consumer Electronics

"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

On AI ideation

"Having a single place for all AI ideas changed how we prioritise. We went from scattered spreadsheets to a clear pipeline in weeks."

Chief Digital Officer, Retail Group

On data integration

"We connected seven systems in three months. Now every decision tool sees the same data without maintaining separate integrations."

CTO, Industrial Distribution

On custom AI development

"They built exactly what we needed—not a platform, not a suite, just one tool that solved one problem. It's been in daily use for two years."

Head of Pricing, Logistics Company

On LLM implementation

"The fine-tuned model understands our product catalogue better than our own documentation. Customer support resolution time dropped 60%."

VP Customer Experience, SaaS Company

On knowledge capture

"Thirty years of tribal knowledge captured in three months. When our senior engineer retired, the knowledge stayed."

Plant Manager, Chemical Processing

On process automation

"We automated 80% of routine pricing decisions. Our team now focuses on the complex negotiations that actually need human judgement."

Sales Operations Director, B2B Distribution

On performance monitoring

"The monitoring dashboard showed us exactly where the model was struggling. Three targeted improvements and accuracy went from 78% to 94%."

Data Science Lead, Insurance Provider

On application enhancement

"Our pricing tool was good. After the enhancement cycle, it became essential. User adoption went from 40% to 95%."

Commercial Director, Industrial Services

Working differently

"No discovery phase that lasted six months. No steering committees. They just started fixing things."

Managing Director, Professional Services

"WithPraxis worked inside our operations, not alongside them. That's what made it different."

Operations Manager, Logistics Provider

"They didn't try to sell us a platform. They asked what we needed and built exactly that."

Head of Commercial Operations, Industrial Distribution

"Most consultants tell you what's wrong. These people actually fixed it, then left."

CEO, Mid-Market Retailer

"The team embedded with our buyers for three weeks. By week four we had something working."

Procurement Director, Food Service

"WithPraxis didn't try to sell us a platform. They mapped our actual decisions, identified where things broke down, and built exactly what we needed. The tool is in daily use 18 months later."

Head of Commercial Operations, Industrial Distribution

On AI governance

"The governance framework gave our legal team confidence to say yes. We deployed three AI tools within six months of establishing it."

General Counsel, Healthcare Technology

On deployment

"The handover was smooth. Our team knew exactly how to operate and maintain the tool from day one. No dependency on external support."

IT Operations Manager, Manufacturing

On advisory support

"The monthly advisory sessions keep us focused. We're not chasing every shiny AI trend anymore—just the ones that matter for our business."

CEO, Mid-Market Retailer

Speed and focus

"We expected a roadmap. We got a working prototype in four weeks."

Digital Director, Home Improvement

"Scope didn't creep. They finished what they started and moved on. Refreshing."

Programme Manager, Financial Services

"The whole engagement was eight weeks. We've had IT assessments last longer."

Head of Technology, Healthcare Distribution

"They said they'd build one thing and make it work. They did."

Commercial Manager, Automotive Parts

"No PowerPoints about transformation. Just practical tools that solved real problems."

Operations Lead, Specialist Retail

"The phased approach worked. We validated value in the first 4 weeks before committing to full build. That de-risked the investment significantly."

Finance Director, Manufacturing

On design systems

"The design system cut our build time in half. Every new interface looks like it belongs to the same family without starting from scratch."

Head of Digital, Professional Services

On system integration

"They connected our ERP, CRM, and WMS in six weeks. No rip-and-replace, just clean data flowing where it needed to go."

IT Director, Wholesale Distribution

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