CHAIN.INS
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Explore the platform

See CHAIN.INS working, then explore it on your own supply chain.

Every screen below is the real product, drawn in its own interface — the Overview that opens on the one decision worth making today, demand and supplier performance read from your ERP and WMS, and stockouts and late shipments predicted before they cost you. Register and the team sets you up with an account loaded with one of your own warehouses and its live supply data.

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ISO 27001:2022 · Egypt-hosted, on-prem or hybrid — residency set per deployment

The platform

Six screens, and what each one is for.

Accounts are created by our team against your company, so there is no self-serve tour. This is an interactive demonstration on seeded data — and on the walkthrough we open it on one of your own warehouses.

Illustrative sample snapshot — figures differ from the live application.

CHAIN.INS · Control tower

Orders at risk

12

Need action

Fill rate

96.2 %

Stable

Late shipments

7

In transit

Decisions

9

Waiting

Act now · 88% confidence

RM-042 has a 76% stockout risk in 17 days.

Demand +18%, supplier lead time 19→27 days. Transfer 18 t from Alexandria and expedite PO-7731.

Orders exposed 7Revenue at risk EGP 6.1MOTIF +4pp

Control tower

Opens on the one thing worth acting on today, with what it is worth in orders and cash, and the reasoning behind it. Scope it to the whole network, one warehouse, or any set of nodes you pick.

CHAIN.INS · Demand

Forecast accuracy

91.4 %

+9 pts

Next 30 days

1.28 M units

Bias

+2.1 %

Slight over

FMC-101 · Sunflower oil 1L+14% vs last month
BEV-014 · Cola 330ml traySeasonal peak
PHR-412 · Vitamin C 1000mgSteady

Demand forecast per SKU, blended with promotions and seasonality.

Demand

A forecast per SKU, blended with promotions and seasonality — so a buy is sized to what customers will actually need, not to last month repeated.

CHAIN.INS · Suppliers
Delta Foods — OTIF94%
Nile Traders — OTIF81%
Alexandria Imports — OTIF72%
Sokhna Imports — OTIF58%
Cairo Wholesale — OTIF88%

On-time-in-full and lead-time scored per supplier, with alternates ranked.

Suppliers

On-time-in-full, lead time and price scored per supplier, with alternates ranked — so a switch is a decision on evidence, not a scramble after a miss.

CHAIN.INS · Shipments & ETA

At Alexandria port

4 days

MSKU-3298 · customs clearance pending · feeds PO-7731

MSKU-3298 · AlexandriaETA slipped
TGHU-9202 · SokhnaOn schedule
CAIU-5540 · DamiettaCleared

Shipments & ETA

Every container and PO in transit with a predicted ETA and customs status, and the orders each one feeds — so a slip at the port is caught while there is still time to act.

CHAIN.INS · Inventory

Inventory value

184 M EGP

Stock cover

38 days

On target

Excess & dead

9.1 %

−4 pts

Stockout risk — RM-042

17 days of cover left at current demand. A transfer from Alexandria closes the gap before it hits orders.

Inventory

Stock cover, excess and stockout risk by SKU and warehouse — with the transfer or expedite that closes a gap before it reaches a customer order.

CHAIN.INS · Connect ERP / WMS

Cairo East — ERP + WMS feed

4,120 SKUs · 4 warehouses

SKUs matched, 4,120 of 4,120
Purchase-order feed matched (ERP)
36 records repaired — blank costs
Live stock within 1% of the count

Everything is shown before it goes live — a mis-mapped cost column looks plausible and reads an order of magnitude wrong.

Connect ERP / WMS

Connect your ERP, WMS and carrier feeds, and see which SKUs and orders were matched and repaired before any of it goes live. We do this with you on the walkthrough.

Book a walkthrough on your own supply chain

We reply within one business day and set the account up with you.

Built for this market

Where the Egyptian supply chain leaks money — and how each leak is closed.

A USD 55.90B market growing 7.0% a year, where margin is lost to landed cost, trapped inventory cash and unpriced order changes — not to bad products. CHAIN.INS is built around the five places the money actually goes.

2026 estimate · 7.0% CAGR to 2031 · Mordor Intelligence

CHAIN.INS · Landed cost — FX & claims

CAPMAS index

148.6

+12.2%

Recoverable

EGP 18.4M

Indexed / FX

At risk

EGP 7.2M

Unevidenced

Steel coilEGP 7.9M
Engineering polymer (resin)EGP 3.1M
CopperEGP 4.8M
Aluminium ingotEGP 1.4M

A claim pack is generated per SKU, indexed to CAPMAS and FX.

Landed cost eats the margin. Steel coil is up 16.8%, copper 21.2% since the plan base. The platform tracks it against the CAPMAS index and FX and assembles the claim — EGP 18.4M recoverable, EGP 7.2M still at risk only because it is unevidenced.
CHAIN.INS · Receivables & cash

Invoiced

EGP 412.6M

Outstanding

EGP 74.5M

EGP 31.2M overdue

Days sales o/s

78 d

target 45

0–30 daysEGP 28.4M
31–60 daysEGP 14.9M
61–90 daysEGP 18.7M
90+ daysEGP 12.5M

Receipts forecast against committed outflow, before the gap opens.

Customer payment delay strangles cash. Receivables ageing and a receipts forecast against committed outflow pull days sales outstanding from 78 toward 45, and flag the exposure before the cash gap opens.

Landed-cost and FX moves eat the margin

Inflation and currency moves reprice imported SKUs, freight and customs mid-contract. Index-linked supply clauses entitle you to price adjustment against the CAPMAS index under the contract's applicable mechanism — so the recovery is only as good as your evidence.

How it is closed: Continuous landed-cost tracking, indexed to CAPMAS and FX, with an adjustment pack generated per SKU.

EGP 18.4Mrecoverable landed-cost, tracked to CAPMAS and FX

Cash trapped in excess and dead stock

Over-buying against a weak forecast is the single most-agreed cause of friction — capital sits frozen in slow-moving and dead stock while the right SKUs stock out.

How it is closed: Inventory ageing, excess and dead-stock detection, and the cash each line frees when it is cleared, transferred or returned.

EGP 31.2Mcash trapped in excess and dead stock, ranked by what it frees

Customer order changes arrive faster than they are repriced

Customer-instructed change — quantity, date or spec — is a frequent driver of rework and cost claims; the order is fulfilled while the change sits unpriced.

How it is closed: Every order change tracked to a repriced, confirmed order, with unpriced exposure priced daily.

Priced dailyunpriced order-change exposure, before it becomes a claim

Import lead times and hard-currency exposure

Import-reliant supply chains for SKUs, components and materials mean FX access and lead time drive the supply plan as much as demand does.

How it is closed: Buy-window recommendations, FX-adjusted landed-cost forecasts, and lead-time risk on the critical SKUs.

Buy-windowFX-adjusted, on the critical lead time

Supplier reliability is uneven and shifts mid-year

Demand across the market pulls capacity away from your suppliers mid-year; on-time-in-full slips before anyone flags the supplier.

How it is closed: Supplier OTIF and score against target, with the approved alternate ready before delivery slips.

Per suppliersupplier OTIF vs target, before delivery slips

The return

What the platform is finding, right now, on the sample supply chain.

These are not projections. They are the open decisions and recoverable positions the platform has already surfaced across the sample warehouse network — the same figures the Command Center shows on sign-in.

EGP 27.9M

Cashflow on the table

across 27 open decisions

104 days

Days recoverable

time the platform can claw back

+8%

Average efficiency gain

per decision acted on

EGP 18.4M

Landed cost recoverable

evidenced against CAPMAS and FX

EGP 8.4M and 41 days already realised year to dateEvery figure is derived from your own demand and inventory data once loaded — never typed into a slide.
Register to see this on your own supply chain

Register to get an account

Tell us about your company and the CHAIN.INS team will set up an account so you can explore the platform on your own supply chain. Sign-ins are issued by us — there is no self-serve sign-up.

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