Happy Webs
№ 01 / SolutionStock forecasting · Trade counters & industrial supply

Reorder What Actually Sells. Stop Funding the Slow Movers.

Trade counter retail has a unique demand pattern: a small set of bestsellers covers 70% of revenue, a wide long tail covers the rest, and seasonal peaks (project season, year-end, weather-driven) hammer the bestsellers. Spreadsheets and static min/max levels can't keep up. We build forecasting tuned to your real sales velocity — across counter, trade accounts, and online.

№ 02The promise

The promise

15–30% working capital reduction typical
< 8 wk from kickoff to live recommendations
Your seasonality tuned to your real patterns
№ 03Where it hurts

Where it hurts

The trade counters & industrial supply reality.

You've got 4,000 SKUs across the trade counter, web shop, and account customers. Your buyer is working from a spreadsheet that hasn't been recalibrated in two years. Some SKUs get attention; most get reordered to the same level they always have been. Cash is tied up in slow movers; bestsellers stock out in peak weeks.

№ 04What we actually build

What we actually build

Tuned for trade counters & industrial supply.

01

Multi-channel sales aggregation

Trade counter EPOS sales + web shop orders + trade account orders, deduplicated and aggregated per SKU. Real sales velocity across every channel.

02

Seasonality and trend modelling

Per-SKU seasonal patterns (project season peaks, weather-driven, year-end), trend direction (growing, declining, stable), weekly patterns (which days are busy on counter vs. web).

03

Supplier-aware reordering

Lead times per supplier, MOQs, price-break optimisation, container-fill awareness for imported lines. Recommendations respect your real cash-flow rules.

04

Buyer-in-the-loop recommendations

Weekly reorder list, ranked by criticality. Your buyer reviews, approves, or overrides. The system learns from overrides — which slow movers you keep in stock for one customer, which suppliers are unreliable.

№ 05Real engagement

Real engagement

The outcome.

UK Workbenches

Sales velocity model across the SKU base. Buyer time on reorder planning reduced significantly while stock-out rate on bestsellers dropped. Multi-channel demand (trade counter + web + account) unified into one view.

№ 06Typical stack

Typical stack

We integrate with what you have.

  • Custom EPOS / trade counter systems
  • Shopify / WooCommerce
  • Sage / Xero
  • Account customer order portals
  • Supplier order systems

If your stack isn't listed, ask — almost always we can integrate. We've connected to bespoke MES, ancient on-prem systems, and email-only interfaces.

№ 07Pricing

Pricing

Fixed fee, phased delivery.

£4,800–£14,000 for build, ~£300–£700/month depending on data volume

From £4,800

Stock forecasting for trade counters & industrial supply

  • Workflow audit + industry-specific spec
  • Build, integrations, and tuning to your real data
  • Live deployment in your environment
  • Ongoing tuning + accuracy monitoring
№ 08Questions

Questions

Things people in this industry ask us.

01 How is this different from min/max in our ERP?

Min/max is static. Real demand isn't. AI forecasting reads the last 12-24 months of velocity, seasonal patterns, trend direction, and lead times — and recommends dynamic reorder quantities that update as data updates. Min/max says "always 30." Forecasting says "next week 47, the week after 22, here's the pattern."

02 What about big trade-account customer orders?

Large account orders are detected and handled separately — they don't distort the everyday velocity model. If a big customer reliably orders 200 units every March, that's factored in as a known event, not noise.

03 Does it integrate with our supplier ordering?

Yes — recommendations can be one-click POs, or auto-generated drafts for buyer review. Multi-supplier order optimisation included (group orders to hit MOQs, batch for container fill).

04 How long until results?

Recommendations live in 6-8 weeks. Working capital and stock-out improvements typically show up over 3-6 months as old slow stock works through and new patterns take effect.

05 What if our sales history is messy?

Most are. Returns, refunds, promotional bumps, one-off bulk orders. We handle the cleanup as part of build — anomaly detection, outlier removal, holiday adjustments. You don't need perfect data.

Let's see if we can help.

A 15-minute chat with Chris & Kay. No slides. No pitch deck. You tell us what's on your plate; we follow up by email with real thinking.

Studio81 Penny Meadow, Ashton-under-Lyne, OL6 6EL
HoursMon–Fri · 09:00–17:00 GMT