Catch demand early. Don't get caught short.
NextDemand forecasts the intermittent, lumpy demand of spare parts — the demand Excel and your ERP's min/max get wrong. Free the cash frozen in dead stock, and have the part when it's finally needed.
Bilingual English · עברית — Connect your ERP or upload a CSV
$142K
cash frozen above real demand
$38K
sales missed at the spikes
Illustrative — one year of a typical spare-parts catalog run on ERP min/max.
Spare-parts demand isn't a smooth line. Your tools assume it is.
Long quiet stretches, then a sudden spike. Classic min/max and moving averages over-stock the slow movers and still miss the surge — cash sits frozen on the shelf while the one part you need is out.
22%
of MRO inventory has sat unused for more than five years
SPARETECH survey of 300 manufacturers, 2025
20–30%
of an item's value is the yearly cost of just holding it in stock
Industry estimates — NetSuite, ISM, 2023–2025
20–30%
inventory reduction is achievable with AI-enabled demand forecasting
McKinsey & Company
“Too much of the wrong stock — and never the part I actually need.”
Built for businesses with many parts and lumpy demand
Distributors & importers
You sell many parts
Thousands of SKUs going out to the shops and assemblers who need them now. Win the sale without drowning in long-tail dead stock.
Auto parts · bearings · fasteners · hydraulics · electrical · plumbing
Manufacturers & assemblers
You buy & assemble many parts
Deep bills of materials with thousands of components. Never let one missing low-cost part stop a high-value build.
Electronics / EMS · medical devices · machinery · agri & irrigation
Forecasting that actually understands slow movers
01
Demand-pattern classification
Every item is automatically sorted by how it really behaves — steady, erratic, or slow and sporadic — so each gets the treatment it needs.
02
The right method for each item
Proven statistical techniques for slow, sporadic movers and machine learning where there's real signal. Established science, not a black box — the field's classics go back to Croston's method, 1972.
03
Reorder, safety stock & stockout dates
A clear recommended order quantity, when to place it, and the projected stockout date — item by item.
04
Data insights
A health score, data-freshness view, supplier concentration, and a ranked list of what to fix first.
05
Accuracy you can check
Every forecast comes with an accuracy score, so you can trust it — or challenge it.
06
Your data, your way
Connect your ERP — Priority, SAP Business One, NetSuite, Dynamics — or upload a CSV. Bilingual English/Hebrew, RTL-native.
Your catalog, triaged by money
One dashboard: what to order now, where cash is leaking out at the spikes, and how much is recoverable from overstock.
Act now · run out ≤7d
177 items
209 to order today · of 250 at-risk
Leaking out · stockouts
$71,479/mo
$60,367 already lost (30d) · 23 below ½-safety
Capital to recover · overstock
~$117,609
108 overstocked · sell-down to free cash
Money leaking out
ranked by money lost / 30dGear pump GP-2041
GP-2041 · Supplier A · low confidence
$31,706
lost 30d
Ball bearing 6204-2RS
BRG-6204 · Supplier A · low confidence
$20,988
lost 30d
Hydraulic hose 3/8″ × 2 m
HH-3820 · Supplier B
$4,606
lost 30d
Capital to recover
ranked by money recoverableSolenoid valve 24 V DC
SV-2411 · Supplier B · 9 units stuck
$9,396
recoverable
Timing belt HTD-8M
TB-8M96 · Supplier A · 8 units stuck
$8,470
recoverable
Seal kit, piston Ø63
SK-6300 · Supplier B · 5 units stuck
$7,994
recoverable
Data coverage
93%
1,142 of 1,232 items have method, fresh data, lead time and demand metric configured
Demand patterns
Illustrative catalog — every number and SKU here is invented.
Specialist-grade forecasting, without the enterprise price tag
Enterprise specialists
Syncron, PTC Servigistics and the like model spare parts well — but they cost six figures and take 6–24 months to roll out.
Spreadsheets & ERP min/max
Free and familiar — but it's the wrong math for lumpy demand, so it quietly over- and under-stocks every month.
NextDemand
Spare-parts-grade forecasting at SMB price and speed, with transparent pricing — and the only one that's Hebrew-native, built by a local team.
Your data stays yours — walled off, and never used to train AI
NextDemand runs on Google Cloud in a dedicated project, with the same infrastructure trusted by enterprises. Here's plainly how your inventory data is protected — and how it is not used.
Built on Google Cloud
Firebase, Firestore and Cloud Run, in a dedicated Google Cloud project — not a shared server under a desk.
Encrypted end to end
Encryption in transit (TLS/HTTPS) and at rest with Google-managed keys — on the wire and on disk.
Per-tenant isolation
Every customer's data is walled off, enforced by database security rules — your catalog is never visible to another tenant.
Least-privilege access
Access is scoped to the minimum needed and audit-logged, and the backend API is protected by app-attestation (App Check).
Never sold, never trained on
Your data is yours: never sold, never shared for advertising, and never used to train AI models.
Privacy by design
Aligned with GDPR and the Israeli Privacy Protection Law. Read the Privacy Policy.
Transparent, SMB-friendly pricing
A SaaS subscription sized to your catalog and team — no six-figure enterprise contracts, and no hidden “contact sales” wall. Book a demo and we'll size it with you on the spot.
Priced to fit, not to gate
Stop guessing your slow movers.
A 30-minute demo on your own data — we'll show the demand patterns hiding in your catalog, in English or Hebrew.
yochai@nextdemand.ai