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Automotive

Catch defects earlier and keep the line running.

Visual inspection, predictive maintenance, supplier risk and parts optimisation for OEMs, suppliers and dealer networks.

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AI applications

Ten AI applications for Automotive

All 100 applications →
Quality

Visual quality inspection on the line

Inspects parts and panels from camera images and flags defects for operators.

Data needed
Line camera images, defect labels

Maintenance

Predictive maintenance for presses, robots and conveyors

Flags rising failure risk on line equipment so maintenance is planned.

Data needed
PLC and sensor data, maintenance history

Live demo available

Procurement

Supplier risk and procurement optimisation

Monitors supplier performance and risk and supports sourcing decisions.

Data needed
Supplier delivery and quality data, purchasing history

Forecasting

Demand and production planning

Forecasts demand and aligns production plans to it.

Data needed
Order book, sales history, capacity data

Live demo available

Quality

Warranty-claim analytics and early defect signals

Finds patterns in warranty claims that point to emerging defects.

Data needed
Warranty claims, service records

Procurement

Parts inventory and duplicate-parts detection

Finds duplicate part records and right-sizes parts inventory.

Data needed
Part master, stock levels

Live demo available

Customer

Dealer demand and next-best-offer

Forecasts dealer demand and suggests next-best offers for customers.

Data needed
Dealer sales, customer and service history

Operations

Parts logistics route optimisation

Optimises inbound and outbound parts routes and fleet use.

Data needed
Orders, locations, fleet data

Quadratyx ARRO

Documents

Accounts-payable and invoice automation

Keeps POs, invoices and payments in sync and routes exceptions to staff.

Data needed
ERP purchasing and AP data, invoices

Cadel

Agents

Engineering-documentation search assistant

Ask questions of engineering documentation in plain language.

Data needed
Engineering documents, ERP data

Quadratyx AskQ

Proof

Industry experience. GoGenesis has delivered AI work for automotive organisations. Case details available on request.

Request case details

AI Tools

Assess, try and explore the tools

All AI tools →

01 · Quick assessment

Four questions. A score, three recommendations and matched evidence.

Question 1 of 4

Where do you sit in the value chain?

02 · Live demos

Try it on synthetic sample data

Demo on synthetic sample data, not client data

Equipment failure early warning

Sample vibration and temperature trends for 24 stamping presses over 30 days, 5 of which went on to fail. A risk index (0–100) is computed from the rise in vibration and temperature. Move the threshold to trade failures caught against false alarms.

Asset type

Failures caught

5 of 5

False alarms

0

Assets flagged

5

AssetRiskStatus
PR-120 Press100Alarm
PR-123 Press100Alarm
PR-104 Press83Alarm
PR-109 Press82Alarm
PR-115 Press75Alarm
PR-117 Press27Normal
PR-118 Press26Normal
PR-121 Press23Normal
PR-116 Press21Normal
PR-119 Press21Normal
PR-105 Press19Normal
PR-112 Press14Normal
PR-114 Press12Normal
PR-103 Press10Normal
PR-122 Press9Normal
PR-124 Press9Normal
PR-110 Press7Normal
PR-101 Press6Normal
PR-106 Press6Normal
PR-113 Press6Normal
PR-102 Press5Normal
PR-108 Press3Normal
PR-111 Press3Normal
PR-107 Press2Normal

PR-104 · Press · risk 83

Vibration (mm/s), 30 days

Bearing temperature (°C), 30 days

Demo on synthetic sample data, not client data

Duplicate-parts finder

A sample of 16 fastener and component records. Abbreviations are normalised and descriptions compared; likely duplicates are grouped with a similarity score. Stock value that could be released = value of the duplicate records beyond the one you keep.

Industry

Records checked

16

Duplicate groups

4

Stock value that could be released

USD 5,365

Similarity 82%Releasable USD 2,830
  • PRT-20003 HEX FLANGE BOLT M8X25 10.9 ZNkeepUSD 1,520
  • PRT-20001 BOLT,HEX FLANGE,M8X1.25X25,10.9,ZNUSD 1,450
  • PRT-20002 BOLT HEX FLG M8 X 1.25 X 25 10.9 ZINCUSD 1,380
Similarity 78%Releasable USD 1,980
  • PRT-20008 BRACKET,BUMPER,LH,STEELkeepUSD 2,100
  • PRT-20009 BUMPER BRACKET LH STLUSD 1,980
Similarity 79%Releasable USD 310
  • PRT-20006 CLIP,TRIM PANEL,BLACK,8MMkeepUSD 340
  • PRT-20007 TRIM PANEL CLIP BLK 8 MMUSD 310
Similarity 100%Releasable USD 245
  • PRT-20014 HOSE CLAMP,32-50MM,SSkeepUSD 260
  • PRT-20015 HOSE CLAMP 32 50 MM SSUSD 245
Try your own short list (max 50 rows)

One material per line, optionally followed by ; and stock value. Processed in your browser only — nothing is sent or stored.

Demo on synthetic sample data, not client data

Demand forecast

Two years of synthetic weekly sales history. The 12-week forecast uses the same week last year, scaled by recent growth; the shaded range (about 80%) comes from the method's own back-tested errors. The suggested order covers 4 weeks of lead-time demand plus safety stock, minus stock on hand.

Series

— last 26 weeks · - - 12-week forecast with range

Forecast, next 4 weeks

4,419

Safety stock

197

Suggested order (1,500 on hand)

3,116 sets

Week+1+2+3+4+5+6+7+8+9+10+11+12
Forecast1,0691,0951,0591,1961,2131,1981,0451,2361,1851,0961,1111,189
Range970–1,168996–1,194960–1,1581,097–1,2951,114–1,3121,099–1,297946–1,1441,137–1,3351,086–1,284997–1,1951,012–1,2101,090–1,288

A suggestion for the planner to review. Units: sets.

Pick one high-friction process. We'll quantify what fixing it is worth.

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