Industry

Cement Industry

Key challenges in the industry:
  • Highly competitive market with mature values leading to low margin
  • Part of the highly secular industry that suffers in recessions due to slow down in construction
  • Need to focus on operational efficiencies to survive.
  • Fragmented inventory management practices limit access to reliable real-time inventory insights which compromises supply chain decisions.

Qnum Analytics is well positioned to help the cement producers optimize their inventory management practices & reducing costs by employing AI-powered technology to deliver end-to-end real time inventory control which enables supply chain agility.

Cement-Industry

Chemical Industry

Chemical-Industry
Key challenges in the industry:
  • The industry still relies heavily on inventory systems to use manual transaction processing which limits real-time access to inventory insights.
  • Inventory movement blind spots cause inefficiencies & profit leakage points which are difficult to identify & contain without accurate inventory visibility.
  • Variances between financial records & physical stock balances on the floor result in excessive inventory write-offs.

Qnum Analytics works with existing operational systems & technologies to enable; the digitization of all inventory data, real-time access to accurate inventory insights that unlocks better decision-making, & continuous reconciliation of inventory to isolate & control the causes of variances & profit leakage points.

Fertilizer Industry

Key challenges in the industry:
  • Market competition is driven mainly through price but companies are using product differentiation & specialized service (e.g. individual agronomic advice & custom blending) to provide additional value.
  • Differentiated services complicate production processes resulting in limited inventory visibility, increased waste, & uncontrolled costs.
  • The poor visibility results in poor decision-making & costly bottom-line impacts.

Qnum Analytics delivers a highly configurable inventory solution that can drive end-to-end optimization by; digitizing all the inventory data, continuously reconciling inventory at key process points to identify waste & control costly usage variances & by providing a dynamic inventory model underpinned by machine learning capabilities to optimize end-to-end supply chain practices.

Fertilizer-Industry​

Building Materials Industry

Key challenges in the industry:
  • More than most, the building materials industry needs to be operationally efficient as end product costs are so low.
  • Current inventory systems are hard coded & struggle to provide visibility of loss points in the material handling processes
  • Month-end inventory reconciliation is a very time consuming activity as businesses struggle to account for inventory shrinkage losses.

Qnum Analytics helps improve stock management practices to drive sustainability and profitability by employing a dynamic inventory model that evolves with an operation to provide accurate real-time inventory visibility, by using digital surveying technology to continuously verify inventory levels, & by leveraging the platform’s AI-driven capabilities to systematically eliminate operational inefficiencies.

Mining Industry

Key challenges in the industry:

  • Mining operations are very expensive so investors apply huge pressure to get a return on their investment.
  • Operations struggle with sub-optimal product yields, caused by archaic systems, operational inefficiencies, waste & significant losses across the value chain.
  • Strict regulatory framework applied to the minerals sector often deter much needed investments.

The key to driving investment needs to be a great emphasis on the use of technology throughout the entire mining value chain, from project inception right through to the production stage. Qnum Analytics takes a disciplined approach to digitizing end-to-end mining value chains to deliver verified real-time inventory insights and long-term operational cost and profit optimization benefits.

Food Processing Industry

Food-Processing-Industry​
Key challenges in the industry:
  • Hard-coded enterprise software limiting the ability to track operation-specific material movements.
  • Poor visibility resulting in uncontrolled losses due to product damage, contamination and theft.

Qnum Analytics works with existing operational systems & technologies to enable; the digitization of all inventory data, real-time access to accurate inventory insights that unlocks better decision-making, & continuous reconciliation of inventory to isolate & control the causes of variances & profit leakage points.

Heavy Plant Machinery Industry

Key challenges in the industry:
  • Heavy machinery is exposed to harsh operating environments in mines which causes frequent mechanical breakdowns.
  • Coordinating the repairs and tracking parts across multiple sites is extremely difficult.
  • Operators experience significant losses due to theft and inefficient procurement practices.

Qnum Analytics helps improve stock control to drive sustainability profitability by employing inventory technology that enables dynamic asset recognition and tracking across multiple locations. The accurate real-time inventory visibility unlocks vital decision-making insights that help control shrinkage losses, maximise on inventory warranties, and optimizes procurement practices.

Plant-Machinery-Industry

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