Order TowerDemo
Embeds anywhereBehind the scenesEvery view in this demo is a component. It can sit inside your own website, your buyers' portal, or the screens in your operations room, with your branding and your sign-in.What it achievesNobody learns a new tool: the views appear where people already work.
Textile Group sees dates and status, not the factory's internal detail
orders.factory-g.com/textileInside your own buyer portal, with your branding

24 live orders for Textile Group

18 on track3 to watch3 forecast late

Fabric in

1

Cutting

4

PO 7781 Hooded sweatshirt
Sewing 52%, Line 4 sewing 480 a day against a plan of 780
Forecast 16 Oct, due 14 Oct
PO 7781 Hooded sweatshirt
Ship date moved to 16 Oct
Updated today, with the reason

Sewing

3

Finishing

7

Inspection

5

Packed

2

At sea

2

Delivered

0

PO 7781 Hooded sweatshirt
Sewing 52%, Line 4 sewing 480 a day against a plan of 780
Forecast 16 Oct, due 14 Oct
PO 7781 Hooded sweatshirt
Ship date moved to 16 Oct
Updated today, with the reason

Today The buyer emails the merchandiser, who asks the factory, who checks a spreadsheet.Behind the scenesThe supplier's own records feed it: the ERP for orders and materials, counters on the sewing lines, the inspection app, and the freight forwarder's shipment feed. Each order's stage updates as those records change, with no one typing a status.What is automatedEvery status update the buyer used to chase by email.What it achievesThe factory sees trouble first and decides what to tell the buyer. The buyer gets a clean, honest picture without chasing anyone.Could go furtherGive each buyer their own login, showing only their orders.

Line 4, today

PO 7781

Hooded sweatshirt, 10,000 pieces, Factory G, Gazipur

Leaves the factory 14 OctNeeded in store 12 Nov
  1. Fabric in19 Sep
  2. Cutting24 Sep
  3. Sewing52%

5,200 of 10,000 sewn on Line 4

ERP orders, materials, planLine output counters, or a photo of the hourly boardInspection app results, by batchForwarder feed bookings, vessels, ETAsBehind the scenesEvery record that touches the order is joined on the order number: fabric receipts, cutting tickets, pieces off the line each hour, inspection results and the shipment booking. Nobody updates a status by hand.In this demoInvented order and figures. The record types are the ones factories already keep.

Line 4, hourly output, 30 Sep

  1. 08:0058
  2. 09:0062
  3. 10:0060
  4. 11:0057
  5. 12:0063
  6. 13:0059
  7. 14:0061
  8. 15:0060

Read from a photo: 480 pieces a day

10k5.2k Sewing must end plan at today's rate

Forecast

16 Oct

2 days after it should leave the factory

  • Line 4 sewing 480 pieces a day against a plan of 780, since Tuesday
  • Drawcords arrived 2 days late

Flagged 13 days before the ship date, while there is still time to act.Behind the scenesPieces sewn per hour on each line are compared with the plan. The remaining pieces at today's rate, plus finishing, inspection and packing, give the day the order can leave. A model trained on past orders learns how often late starts recover on their own, so only real risks are raised.AssumptionInvented rates. Working days are Monday to Saturday; finishing, inspection and packing take three days.What it achievesProblems are seen two weeks out instead of on the day the truck is due.

Three ways to fix PO 7781, with what each changesBehind the scenesEach option is run through the same forecast: extra hours on the line, a split shipment, or air freight for the balance. The effect on the ship date and the cost come from the plan and past rates.What is automatedWorking out the options and drafting the note to the buyer. The merchandiser chooses and sends.Could go furtherSuggest moving the order to another line with spare capacity, from the same data.

Note to Textile Group, drafted

PO 7781 is on track to leave on 13 Oct after Saturday overtime on Line 4. No change to your store date.

LLine 4 supervisorWhatsApp

Can Line 4 run Saturday for PO 7781?11:42

Yes. 24 operators confirmed, 08:00 to 17:00.11:55

Note to Textile Group, drafted

We propose shipping 8,000 pieces of PO 7781 on time and 2,000 a week later. Please confirm.

Note to Textile Group, drafted

We will air freight the balance of PO 7781 to keep your store date.

MYou, merchandiser
Ask the tower anything about your orders

Which Textile Group orders will miss their ship date, and why?

TOrder Tower is checking 24 orders

T3 orders, each with its reason

  1. PO 7781Hoodie, 10,000 piecesLine 4 sewing 480 a day against a plan of 780
  2. PO 7793Hoodie, 10,000 piecesZips not yet received from the trims supplier
  3. PO 7811Chino, 2,400 piecesFailed inspection on stitching, 1,200 pieces in rework
How it worked this out Joined line output, the plan, inspection results and ship dates for 24 orders. Every figure links to the record it came from.
Behind the scenesThe question goes to an agent that can only query governed tables: orders, line output, inspection and shipments, with the definitions agreed with the factory. It writes the query, checks it, and shows its working.In this demoScripted answer from the invented data.What it achievesMerchandisers and buyers ask in their own words instead of waiting for a report.

What feeds it

  • Order book (ERP)
  • Hourly boards, photographed
  • Inspection results
  • Forwarder bookings
  • Buyer orders and dates

The pipelineBehind the scenesEach source is collected as it lands, read, cleaned and joined on the order number into one governed record. The forecast, the answers, the alerts and the buyer's view all read from that one record, so they always agree.What it achievesNew uses are days of work, not a new project, because the hard part, one trusted record, is already done.Could go furtherShipment tracking, supplier scorecards and capacity planning sit on the same record.

  1. Collectevery hour, as it lands
  2. Readphotos and PDFs
  3. Cleandates, units, styles
  4. Joinon the order number
  5. Forecastship date at today's pace

One record

PO 7781

BuyerTextile Group
LineLine 4, 52% sewn
InspectionBooked
ShipmentChattogram, 16 Oct
Forecast16 Oct, due 14 Oct

Ask in plain English

Which lines are behind plan this week?

Line 4, at 62% of plan since Tuesday.

Insights found for you

  • Line 196%
  • Line 291%
  • Line 399%
  • Line 462%

Share of plan sewn this week, by line. Line 4 is the outlier (modelled).

Automations

WhenA vessel delay hits the store dateThenMerchandiser alerted, buyer note drafted

Scheduled snapshots

Morning snapshot07:00

  • Orders at risk3
  • To watch3
  • On track18

At your fingertips

07:00

Monday

07:00

Textile Group portalnow

PO 7781 ships 13 Oct

0%

on time in full, up from 81% (modelled)

0 days

average warning before a late order

0%

fewer status emails between buyer and factory (modelled)

£0

air freight avoided (modelled)

Late orders cost a factory penalties, chargebacks, air freight and repeat business. The tower cuts all four.

Across 186 orders in the season, every buyer sees the same picture as the factory, and the factory sees trouble first.AssumptionInvented supplier, buyer, orders and vessels. Modelled: on-time rates, warning days, fewer emails and air freight avoided.What it achievesBuyers stay because they can see; the factory wins repeat orders on trust as well as price.

07:00

Monday

07:00

Textile Group portalnow

PO 7781 ships 13 OctUpdated by Factory G

Order Towernow

Morning snapshot3 orders at risk, fixes drafted

Live orders

24 orders, 3 forecast late

Interactive demo

Every order your buyers care about, live.

Watch it run in 147 seconds, or click through at your own pace. The i buttons show what happens behind the scenes.