Ingredient cost creep
Ingredient prices change weekly. Most SMEs reprice their recipes quarterly at best. The gap — between what you planned to spend and what you actually paid — compounds silently across every batch you run.
Talos analyses your last 30–60 days of production data and shows you exactly where margin is being lost — ingredient variance, yield loss, labour drift — quantified in £. No software installation. No IT involvement. Just answers.
Most food manufacturers think they know their batch margin. They're estimating. The Talos Audit tells you the exact number — and where it's going.
Ingredient prices change weekly. Most SMEs reprice their recipes quarterly at best. The gap — between what you planned to spend and what you actually paid — compounds silently across every batch you run.
Every batch that produces less than planned is a loss nobody measures. Most food SMEs track planned yield. They rarely compare it to actual yield per run — and never quantify the cumulative £ impact.
Capital tied up in ingredients with no active job allocation. Expiring batches. Over-ordered lines that never move. Most MDs know it's there — nobody has quantified it in £ and matched it back to the production schedule.
Roughly a third of production runs in a typical F&B SME have a material deviation from plan — over-portioning, line inefficiency, substituted ingredients. Almost none of these are costed and reported to the MD.
You export a file. We do the analysis. You receive a board-ready report that tells you exactly where the money is going — in £.
Export your last 30–60 days of batch production and purchase data from your ERP (Sage, Access, or Excel). Three clicks. Send via our secure ProtonDrive link. No software installation. No IT team required. If you can't export from your system, we provide a simple template instead.
Our data pipeline processes your export off-site — automatically mapping your columns, normalising formats, and calculating price variance, yield variance, and usage variance per batch. Every deviation from plan is found and quantified in £. You do nothing while this happens.
A 15-page board-ready PDF delivered in a 45-minute video call. Executive summary, batch-by-batch variance table, top 3 loss drivers with exact £ values, and specific recommendations. Every number comes from your own data — not industry averages.
Every client relationship follows the same path. Audit first. Then monitoring. Then platform access as the product matures.
Send us your ERP export. We process it, calculate your price variance, yield variance, and usage variance per batch, and deliver a 15-page board-ready report. Every finding quantified in £. Guaranteed to identify at least 5× the audit cost in actionable savings.
Monthly data refresh using your latest ERP export. Delta comparison against your audit baseline. Automated alerts for ingredient price spikes, yield drift, and ghost stock build-up. A 3-page monthly update report delivered to your inbox.
The full Talos Operating System — real-time margin tracking, inventory intelligence, capacity and labour analytics, and multi-site rollups. Built on the same data infrastructure as the audit. No new integration required when you're ready to activate it.
Consolidated margin intelligence across multiple sites or group entities. Custom ERP connectors, PE-backed group reporting, and dedicated account management. Built on the same proven pipeline — scaled for complexity.
The Batch Margin Audit is not a consultancy assessment. It is a data instrument that finds specific, quantifiable margin losses in your production runs. Every finding has an exact £ value attached to it.
Export your batch production and purchase data from Sage, Access, or Excel. Three menu clicks. Send via our secure ProtonDrive link. That's the only thing you do. No site visit. No questionnaire. No preparation that consumes your team's day.
The Talos data pipeline normalises your export, maps your column headers to canonical fields, and runs three variance calculations per batch: price variance (what you paid vs. what you planned), usage variance (how much ingredient was actually used), and yield variance (what you produced vs. what you planned).
The top loss drivers are ranked by £ impact. Not percentages. Not industry benchmarks. The actual £ figure your business lost across the audit period — per ingredient, per product line, per batch run.
15 pages. Executive summary, batch variance table, top 3 loss drivers in £, specific recommendations. Delivered in a 45-minute video call. Written for an MD, not a consultant. You can act on it the same week.
These scenarios are composites drawn from real UK SME food manufacturing patterns. Every number is grounded in industry data and Talos audit methodology.
Supplier prices had risen three times in 18 months. The BOM hadn't been updated. Every batch was being costed against a recipe that no longer reflected actual ingredient costs — the MD had no idea how much this was worth until the numbers were run.
Production logs showed planned yield. Nobody compared them to actual output systematically. A 6% yield gap across the main product line had been running for three quarters. The number had never been calculated or reported. It was visible in the data on Day 1.
Ghost stock — ingredients purchased for jobs that had been delayed, cancelled, or reformulated. Capital sitting in a cold store, invisible to the accounts team. Matched back to production history in the audit: 14 ingredient lines, £52k, some approaching expiry.
If something you need isn't answered here, book a discovery call and ask directly.
Two days on-site, plus a written report delivered within 5 working days. Before you arrive we send a brief pre-visit request — one email, six items maximum — so we can make the most of our time. No lengthy questionnaires, no preparation that consumes your team's day.
No. The Sprint maps your data landscape as it actually exists — spreadsheets, ERP exports, paper job cards, email trails, all of it. If your data isn't ready for an intelligence layer, we tell you honestly and can scope a data preparation phase as a billable first step. We never promise AI results on bad data.
No. The sweet spot is manufacturers with 15–80 staff and at least 12 months of historical job data in any format. If you're quoting more than 20 jobs per month and have at least one experienced estimator, the Sprint will find something actionable. We work with precision CNC, sheet metal, general engineering, and aerospace subcontract.
No. The Quoting Intelligence System gives your estimator a data-grounded starting point instead of relying purely on memory. They still apply judgement, catch the unusual jobs, and make the final call. The system makes them faster and more consistent — it doesn't replace their expertise. Think of it as giving your best estimator a very good assistant.
That hasn't happened. But if the Sprint surfaces nothing genuinely actionable, the report says so. We don't manufacture recommendations to justify a build. The report is honest, specific, and yours to keep regardless of what happens next. You've still mapped your data landscape and quantified your current state — that's useful on its own.
We debrief in a 30–45 minute call, 1–2 weeks after delivery. We walk through the findings, answer questions, and let the report speak. No hard sell. If you ask about next steps, we describe the build in plain terms. If you're ready to proceed, a one-page proposal arrives within 48 hours. If you're not ready, the problem will still be there when you are — and it will cost more by then.
We use your data, not industry averages. Before we arrive we request six specific items — your quote log, a sample of completed job cost records, your delivery history, and a few others. On-site we run the calculations against your actual numbers. For quoting: your job volume × your average job value × your measured win rate gap gives us a precise revenue figure. For knowledge risk: we find mispriced jobs in your cost records during periods when your key estimator was absent, then project that forward. For OTD: we pull your delivery records and calculate your real on-time percentage against customer-confirmed dates — not what the system shows. Every number in the report comes from your own records. You can argue with a consultant's opinion. You can't argue with your own data.
Your ERP collects data. Talos turns that data into margin decisions. Most SME food systems — Sage 50/200, Access, Epicor, or Excel — were built for recording transactions, not for calculating yield variance per batch or identifying which ingredient lines are drifting from your recipe standard. We work with your existing ERP exports as a data source. No replacement, no migration, no IT project. The intelligence layer processes what you already have.
In most cases, yes. Made Smarter is a UK government-backed programme offering SME manufacturers in England grants of up to £5,000 for digital technology adoption. The Discovery Sprint and the intelligence layer systems both typically fall within the eligible technology categories. We can advise on the application process during your initial call — in many cases the Sprint cost is fully covered.
Discovery Sprint: 2 days on-site, written report within 5 working days. Intelligence layer build: 4–6 weeks from Sprint sign-off. From first conversation to a working Quoting Intelligence System: typically 8–10 weeks. No open-ended bespoke projects. No three-month discovery phases. The timeline is fixed before we start — because we've built this system before.
Book a free 20-minute Margin Clarity call. We ask about your production process, your ERP system, and what your biggest margin frustration is. No pitch. We listen first. If there's no fit, we'll tell you.
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