NexusAI Technologies

Chemical inventory: end-to-end traceability and analytics for decision-making

For a chemical industry company we developed a responsive web application that serves as the information center of its warehouse: it brings together material entries, exits and volumes, connects production, purchasing, logistics and sales, and applies analytics and artificial intelligence to anticipate consumption.

The challenge

  • The chemical materials inventory —entries, exits, total and partitioned volume— was neither centralized nor digitized.
  • Movements lacked full traceability and a role-based approval scheme.
  • Technical data such as modules and costs needed greater accuracy to calculate the real cost of production.
  • Regulatory compliance and decision-making relied on manual, untimely reports.

The solution

A responsive web application hosted securely in the cloud, with modules for operations staff and for management:

Operations dashboard

Tank volume and capacity, active orders, lots about to expire, critical items, and charts of inventory movements and production status.

Tank management

Control of vertical tanks, horizontal tanks and storage pits, with daily volume and density records and partitioned volume calculation.

Multi-site inventory

Stock by distribution center and site, movement history, transfers between sites, and the status and location of every material, with advanced filters.

Production and costs

Production orders with quality control, technical metrics and calculations, and a comparison of in-house versus external production cost.

Purchasing, suppliers, logistics and sales

Supplier performance and audits, purchase records, freight tracking and collection status of sales.

Field and lab capture

Movements can be recorded even offline and are synced once the connection returns.

Access, roles and audit

Role-based permissions —operations, supervision, administration and management—, movement approvals and an audit log of every process.

Analytics and AI

Inventory KPIs, historical reports, predictions and regressions on material consumption, and automated insights for planning.

Results

  • 35% improvement in inventory data accuracy.
  • 20% increase in operational efficiency.
  • Traceability of every movement, with role-based approvals that support regulatory compliance.

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