Demo build on sample data

Getting a seat maker ready for the spring rush

One screen across the ERP, the production floor, inventory and the online store, with a short written briefing every morning.

This is a demo build. It runs on sample data. We keep the manufacturer's name private.

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At a glance

Demo build, sample data

Business: Made-to-order seating, North America
What we built: A morning briefing
Production and supply
Quoting and support

Seat manufacturer demo build: production and capacity screen with line use, the bottleneck work center, on-time delivery and a six-week load forecast by work center. — Production and capacity, seat maker demo.Demo build, sample data.

The problem

This manufacturer builds seats for boats, golf carts, emergency vehicles and industrial equipment. Most of it is made to order, and most of the year's demand lands in one short spring rush.

That season decides everything. Build too late and boat builders get their seats late. Run out of one vinyl colour and a line stops. Price this year's contracts on last year's material costs and the margin quietly disappears.

The data to see it coming already exists. It's spread across the ERP, the floor, inventory and the online store, and nobody has time to pull it together every morning.

What we built

A morning briefing

What changed, what's at risk and what to do about it, then ten modules, one for each part of the business. Each starts with a plain recommendation and buttons to act on it.

Production and supply

Demand by product family against build capacity for the next 12 weeks, the bottleneck work center flagged weeks ahead, and vinyl, foam, frames and hardware reordered against lead time.

Quoting and support

Quotes for builder packages costed from the bill of materials at today's material prices, an online seat layout tool that prices the build, and an assistant for dealers.

What's in it

Command center with open builder orders, on-time delivery, stockout risk, warranty rate and line use.
Demand forecasting from order history and dealer sell-through, with a pre-build plan.
Account health for each boat builder, with the model-year pipeline and accounts at risk.
Online store view: sales by collection, abandoned carts, cart recovery and matching recommendations.
Warranty clustering that traces a spike back to a supplier lot, a shift or a material spec.
Pricing and margin by product line and channel, watching material cost changes.
Dealer assistant for order status, part cross-reference, install guides, warranty and where to buy.
A chat panel for questions like "will we run out of vinyl?" or "why are warranty claims up?"

What it would take to go live

How the season really runs. Which builders matter most, which materials run short, how quotes are built today and where warranty claims come from.

The company's own systems. ERP, production, inventory and the online store, connected in place of the sample data.

A first version in about 10 days, with the modules that matter first. The company owns its data the whole way through.