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Food & Beverage

Forecast fresher, waste less, trace faster.

Perishables forecasting, scheduling, food-safety anomaly detection and traceability for producers, distributors and retailers.

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AI applications

Ten AI applications for Food & Beverage

All 100 applications →
Forecasting

Demand forecasting for perishables

Forecasts demand for short-shelf-life products by SKU and site.

Data needed
Sales history, promotions, weather

Live demo available

Forecasting

Purchase recommendation for retailers and distributors

Recommends order quantities for retailers and distributors.

Data needed
Order and sell-through history

Quadratyx PreQ

Operations

Production scheduling and changeover optimisation

Sequences production runs to cut changeover time.

Data needed
Production orders, line capabilities, changeover times

Quality

Food-safety and quality anomaly detection

Spots unusual quality and process readings for QA review.

Data needed
QA results, process sensor data

Live demo available

Operations

Cold-chain monitoring

Watches temperatures across storage and transport and flags excursions.

Data needed
Temperature loggers, shipment data

Operations

Distribution route optimisation

Optimises delivery routes and fleet utilisation.

Data needed
Orders, locations, fleet data

Quadratyx ARRO

Procurement

Raw-material and commodity price forecasting

Forecasts input prices and supports buying decisions.

Data needed
Purchasing history, market prices

Quadratyx QIPP

Operations

Yield and waste reduction

Finds where yield is lost and waste is created across the line.

Data needed
Production and scrap records

Documents

Traceability and recall document AI

Reads lot, supplier and shipping documents to speed traceability and recall checks.

Data needed
Lot records, supplier certificates, shipping documents

Customer

Promotion and trade-spend optimisation

Estimates which promotions pay back and where trade spend works.

Data needed
Promotion calendar, sales history

Proof

Industry experience. GoGenesis has delivered AI work for food manufacturing 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

What type of business are you?

02 · Live demos

Try it on synthetic sample data

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

16,232

Safety stock

605

Suggested order (5,200 on hand)

11,637 cases

Week+1+2+3+4+5+6+7+8+9+10+11+12
Forecast3,7984,0923,9854,3573,9824,5554,3084,4624,3204,3484,2714,646
Range3,496–4,1003,790–4,3943,683–4,2874,055–4,6593,680–4,2844,253–4,8574,006–4,6104,160–4,7644,018–4,6224,046–4,6503,969–4,5734,344–4,948

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

Demo on synthetic sample data, not client data

Equipment failure early warning

Sample vibration and temperature trends for 26 fillers and packers 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
PK-118 Packer100Alarm
FL-125 Filler100Alarm
FL-107 Filler98Alarm
PK-112 Packer80Alarm
PK-102 Packer75Alarm
FL-115 Filler29Normal
PK-104 Packer25Normal
FL-121 Filler25Normal
PK-124 Packer23Normal
FL-111 Filler22Normal
FL-113 Filler22Normal
PK-122 Packer21Normal
FL-105 Filler15Normal
PK-126 Packer14Normal
PK-114 Packer13Normal
PK-108 Packer12Normal
FL-117 Filler11Normal
FL-119 Filler11Normal
PK-120 Packer11Normal
FL-109 Filler10Normal
PK-116 Packer8Normal
PK-106 Packer6Normal
FL-123 Filler5Normal
FL-101 Filler3Normal
FL-103 Filler0Normal
PK-110 Packer0Normal

PK-102 · Packer · risk 75

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 packaging and ingredient 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

6

Stock value that could be released

USD 12,110

Similarity 92%Releasable USD 4,630
  • PKG-20001 FILM,SHRINK,PE,500MM,50MICkeepUSD 2,400
  • PKG-20003 PE SHRINK FILM 500MM 50 MICRONUSD 2,380
  • PKG-20002 SHRINK FILM PE 500 MM 50 MICUSD 2,250
Similarity 79%Releasable USD 2,950
  • PKG-20008 SUGAR,REFINED,25KG BAGkeepUSD 3,100
  • PKG-20009 REFINED SUGAR 25 KGUSD 2,950
Similarity 91%Releasable USD 1,840
  • PKG-20006 CARTON,CORRUGATED,12X500MLkeepUSD 1,900
  • PKG-20007 CORRUGATED CARTON 12 X 500 MLUSD 1,840
Similarity 85%Releasable USD 1,260
  • PKG-20004 CAP,PET,28MM,BLUEkeepUSD 1,300
  • PKG-20005 PET CAP 28 MM BLUEUSD 1,260
Similarity 77%Releasable USD 820
  • PKG-20010 LABEL,WRAP AROUND,500ML,ORANGEkeepUSD 870
  • PKG-20011 WRAP LABEL 500ML ORANGEUSD 820
Similarity 85%Releasable USD 610
  • PKG-20012 CITRIC ACID,ANHYDROUS,25KGkeepUSD 640
  • PKG-20013 CITRIC ACID ANHYD 25 KGUSD 610
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.

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

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