The Data Edge: AI, Procurement and FM

Most AI conversations in FM and construction stay stuck at the pitch stage. This one doesn't. Daniel Roth has spent 27 years running transformations across 15 industries, and he walks through three of them in detail: a construction camera taught to spot its own blind spots, a contact centre that grew 68% while cutting costs 57%, and an ERP migration that exposed a quarter of an organisation's spend with no category at all.

0:00 Intro: why most transformation problems are visibility problems, not strategy problems

1:10 The camera that couldn't see the job site

8:10 68% growth, 57% lower cost in a healthcare contact centre

11:03 A quarter of the spend, uncoded

17:00 From 1% of calls monitored to 100%

19:30 Why Daniel crossed "execute" off the cover of his book

What you'll walk away with:

How a blocked construction camera turned into an AI object-recognition product, then a security business

What actually drove a 57% cost reduction alongside 68% volume growth, and why it wasn't one tech project

Why "just put something in that field so the record saves" is how a quarter of an organisation's spend ends up with no category

How Daniel's team uses two AI engines to check each other, with a human still in the loop

The one question most procurement teams can't answer about their own spend data

Daniel Roth is the founder of Pangea Effect and author of The E3 Effect, a framework for building high-performing teams around enable, empower and endeavor rather than execution. In this episode he and Stephanie Wiechers of Pearstop cover AI adoption in construction and facilities management, procurement data quality, spend classification, ERP migrations, and how contact centres use AI for quality monitoring at scale.

The Data Edge is for FM, construction and infrastructure teams who want to get time and money back with their data. New episodes weekly.

More on getting your own spend data into a state where you can act on it: pearstop.com

A school can be producing three meals of food waste for every student it feeds, and still have all the data sitting in its catering contract the whole time. This episode is about why that data goes uncollected, unseen, or just unused.

0:00 What we're covering

3:22 The data ladder — why collecting data isn't the hard part

7:41 Real case study: cutting general waste by making it visible

15:19 Keeping humans in charge: why the AI should prompt, never decide

18:49 The £78k school problem, and why the easy sale was the wrong one

Three questions worth asking before your next waste review:

1. Is your waste data periodic (a monthly email) or real-time, and would real-time actually change what your team does differently?

2. Has anyone on your team seen a full breakdown of what's driving your general waste volume, or only the total?

3. If a supplier promised to "save you money" on waste, could they show you where that saving actually comes from?

Nicky Rifat, founder of Green Space Innovations, walks through his data ladder — collect, visualise, analyse, change — and why most FM and facilities teams stall between the middle two steps. Covered: a real case study of a building that cut general waste and lifted recycling purely by making waste visible to occupants, why "you'll save money" is too broad a promise for any waste or sustainability vendor to make, the case for keeping a human in the loop on waste-stream classification rather than letting AI decide alone, and why a school generating £78,000 a year in food waste didn't need a bigger digester first, it needed a change in catering policy.

The Data Edge is for FM, construction and infrastructure teams who want to get time and money back from their data. New episodes weekly.

More on getting your procurement and waste data into a state where you can act on it: pearstop.com

A supplier increase letter is one of the few procurement decisions where you're expected to reply without ever seeing the numbers behind the number. This episode gives you those numbers.

0:00 What we're covering

0:50 Why the percentage in the letter is almost always too high

1:25 The maths, using a cleaning contract

3:20 Why hard services works completely differently

4:35 The four questions to send back

5:10 Construction: check the contract even allows it

6:25 The one question most teams can't answer

7:50 What to take away

The four questions to send back:

1. Which rate or index does our contract actually tie the increase to, and does the letter match it?

2. What proportion of this contract is labour, and are you applying the increase to the whole contract value or only to that proportion?

3. How many of the staff on our site are paid at the statutory minimum today, and how many are already above it?

4. Is this a permanent change to our baseline price, or does it come back down if costs move the other way?

Your cleaning contractor, M&E provider or subcontractor has sent a price increase letter, and the percentage in it looks non-negotiable. It usually isn't. Stephanie Wiechers of Pearstop walks through how to check whether a supplier price increase is actually justified, using worked examples from commercial cleaning, hard services maintenance and construction. Covered: why a rise in the UK legal minimum wage only justifies an increase on the labour portion of your contract, how the maths changes when you move from a labour-heavy cleaning contract to an M&E contract loaded with parts and materials, why construction increases need checking against the fluctuations provision and the named index in the contract, and the percentage-based management fee that quietly rises with the total. Also covered: why most procurement teams can't answer the one question that would save them the money, and what that says about their contract and spend data.

The Data Edge is for FM, construction and infrastructure teams who want to get time and money back with their data. New episodes weekly.

More on getting your procurement data into a state where you can answer that question: pearstop.com

Most FM and construction teams still rely on multiple quotes to decide whether a job is fairly priced. But what happens when the real pricing knowledge lives in the heads of just one or two experienced people?

In this episode of The Data Edge, Stephanie Wiechers looks at the hidden cost of that system: slower approvals, unnecessary contractor work, weaker supplier relationships and teams waiting days—or even weeks—for decisions that should take minutes.

Using a real-world facilities management example, Stephanie explores how historical invoice data can be turned into a practical cost baseline. Instead of requesting three quotes every time, teams can compare a new quote against prices they have already paid for similar work and quickly identify what looks reasonable, what looks unusual and what genuinely needs senior review.

The episode also includes a simple exercise you can do with your own invoice data to start building a baseline without new software.

In this episode:

• Why the three-quote process creates unnecessary friction
• How pricing knowledge becomes an operational bottleneck
• How historic invoices can reveal a fair-price range
• Why cost baselines can improve supplier relationships
• A practical way to build your first baseline in under an hour

The Data Edge is for facilities management, construction and infrastructure teams looking to get more value from their data.

#FacilitiesManagement #Construction #Procurement #DataAnalytics #CostManagement #FM #InvoiceData #SupplierManagement #ConstructionData #TheDataEdge

One number. Nearly a month to find it.

The problem wasn’t missing data. It was data that didn’t agree with itself.

In this episode of The Data Edge, Stephanie Wiechers breaks down why messy supplier and invoice data quietly undermines procurement decisions, and how to build a cost baseline you can actually trust.

Because better decisions don’t start with another dashboard. They start with better data.

#TheDataEdge #Procurement #DataManagement #FacilitiesManagement #AI

Somewhere in your contract, money may be hiding—and even the person managing it might not know where to find it.

In this episode of The Data Edge, PearStop founder and managing director Stephanie Wiechers explores how poor invoice visibility can quietly reduce contract profitability across facilities management, construction and infrastructure businesses.

Stephanie introduces “Mark,” an experienced contract manager overseeing a cleaning contract across 40 sites. Although his supplier totals and monthly reports appeared correct, they failed to reveal the real problem: identical consumables being purchased from different suppliers at different prices for more than a year.

The issue was not fraud, negligence or bad management. It was simply hidden inside thousands of invoice line items that nobody had the time or tools to compare properly.

This episode explains why supplier-level reporting is often insufficient, how invoice line-item data can expose cost leakage, and why recurring inefficiencies can be more damaging than one visibly bad month.

Stephanie also shares a practical three-step invoice audit that contract managers, procurement teams and FM professionals can carry out immediately.

Discover how better spend visibility, invoice data management and supplier price comparison can help protect margins and improve contract performance.

Learn more about PearStop and access free resources through the links below.

A supplier calls ahead of a contract renewal and asks for a price increase. Before responding, the procurement team needs one simple figure: how much are we currently spending with this supplier across every site, service and contract?

It takes them almost a month to find the answer.

In this episode of The Data Edge, Stephanie Wiechers, CEO of Pearstop, explains why procurement teams across facilities management, construction and infrastructure struggle to produce reliable spend data, even when all the information technically exists.

The problem is rarely a lack of data. It is that supplier names, invoice descriptions, contracts, quotes and spreadsheets do not agree with one another.

Stephanie breaks down a practical four-step process for turning fragmented procurement information into a trusted cost baseline:

1. Clean and consolidate duplicate supplier records.

2. Build a practical procurement spend taxonomy.

3. Categorise spend from the top down.

4. Use contextual data to interpret unclear invoice lines.

You will also learn why dashboards cannot solve poor data quality, why excessive categorisation causes projects to collapse, and how organising 95% of spend confidently is often more valuable than chasing unreliable perfection.

With clean procurement data, contract renewals become faster, supplier negotiations become more informed, and hidden costs such as fuel surcharges, duplicate suppliers and inconsistent pricing become easier to identify.

Pearstop helps procurement teams transform messy invoices, quotes and spreadsheets into structured, decision-ready spend intelligence.

Subscribe to The Data Edge for practical insights on procurement data, spend analysis, supplier management and AI-powered data transformation.

#Procurement #SpendAnalysis #SupplierManagement #FacilitiesManagement #ConstructionData #ProcurementTechnology #DataQuality #CostReduction #SpendManagement #Pearstop

In this episode of The Data Edge by Pearstop, Stephanie Wiechers takes facilities management, construction and infrastructure teams inside the hidden world of procurement data. From supplier totals to invoice lines, this episode breaks down why “clean data” is rarely as clean as it looks, and how line-by-line spend visibility can help businesses protect margins, reduce waste and make smarter procurement decisions.

Using a real-world facilities example, Stephanie explains how everyday site purchases like toilet cleaner, paper products, PPE, transport costs, packaging and fuel surcharges can reveal major gaps in spend control. For CFOs, procurement leaders and operations teams, this episode shows how structured procurement data can support supplier benchmarking, contract compliance, tender preparation and better cost management across the UK, Netherlands, France and global facilities markets.

If your organisation manages multiple sites, suppliers, invoices or cost centres, this episode will help you understand what is really happening inside your procurement data and why better data quality creates better commercial decisions.

Learn more about Pearstop and how better procurement data can give your business its edge.

procurement data, facilities management, construction procurement, infrastructure data, invoice line analysis, spend visibility, supplier benchmarking, data quality, fuel surcharges, procurement software, Pearstop, The Data Edge podcast.

This episode talks about another very relevant and difficult hurdle in the world of procurement and data - secret costs and hidden billings. Listen to the Data Edge every Thursday to stay informed on the latest data updates and more!

Back to the Data Edge - a podcast for those interested in understanding the Data and AI world. In today's episode we talk about waste management, data and the world of procurement with an interesting and unexpected anecdote that will grip our listeners. Tune in for an educative and insightful conversation between Stephanie, CEO at Pearstop and Mike from SLS!