CASE STUDIES

CASE STUDY – MEETING CUSTOMER DEMANDS WITH AI + DATA

Multipack-ljm is the industry leader in Co-packing services for Food & Beverage, Personal Care & Household and Animal Health & Nutrition and Pharmaceutical companies who demand world-class contract packing services.

Early adoption of AI Technology allows Multipack-ljm to meet customer demands.

By combining ‘supplier, customer and inventory stock’ data with the power of ‘associative analytics’, Multipack-ljm can adjust and optimise procurement of raw materials in real-time to ensure their customers’ products are on shelves, on-time, ready to delight their consumers.

THE CUSTOMER CHALLENGE

Multipack provides packaging services for a diverse range of products including food, pharma and FMCG, with major brands such as Nestle, Kellogg’s and Coca-Cola.

With major brands such as Nestle, Kellogg’s and Coca-Cola relying on flexible supply, Multipack-ljm needed to respond to customer changes in demand in real-time. Knowing what adjustments and optimisation steps in production are required, to meet evolving needs, would be a game changer.

THE SOLUTION

Multipack-ljm commissioned the data-driven Qlik Sense associative analytics engine to simulate the impact of fluctuations and instantly determine any affect on production – all via a single dashboard.

Qlik’s sophisticated AI gives Multipack-ljm real-time access to active business intelligence empowering both Multipack-ljm’s team and client to make better business decisions, fast.

CUSTOMER BENEFIT

Multipack-ljm can respond to changes in client demand in real-time delivering performance and efficiency for their client’s and their brands.

Even when Covid-19 caused rapid surges, Multipack-ljm’s world-class technology capability allowed production to scale seamlessly to meet client demand.

“At first, I thought it was a reporting tool, now I realise it’s a strategic decision tool. It gives us actionable insights and has transformed our business”

Adam Rawson, CEO, Multipack-ljm

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