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CASE STUDY

Warehouse operations optimisation

Masoprofit
Masoprofit warehouse optimisation thumbnail

Client

Masoprofit

Segment

Supply Chain

Solutions

MyIO Supply Chain

Date

2026

↳

DNAi case study: Demand forecasting and replenishment optimisation for Masoprofit integrated with ERP K2 (MyIO).

01 —

The Task

Context

Masoprofit supplies equipment and technology to food retail and production customers, managing 20,000+ SKUs with seasonal demand and promotional volatility.

Legacy planning leaned on historic sales and buyer judgement, causing stock-outs and inefficient inventory levels.

02 —

The Reaction

Approach

DNAi deployed MyIO Supply Chain on Microsoft Azure, integrated into K2.

The platform recommends purchase orders using demand forecasting and combinatorial optimisation, factoring supplier lead times, commercial terms, shelf life, and active campaigns, with recommendations flowing straight into procurement.

Technology

  • 30+ time-series forecasting models with automatic selection
  • Combinatorial replenishment optimisation
  • Seasonality, promotions, and supplier master data

03 —

The Effect

Outcomes

  • ~35% improvement in demand forecast accuracy
  • ~15% reduction in inventory value without increasing stock-outs
  • Supports 20,000+ SKU planning with automated ordering suggestions

NEXT CASE
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Manufacturing

Pharmaceutical portfolio optimisation

Zentiva
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