How shipping companies can turn fragmented fleet data into a structured demand forecast using a few practical implementation steps.
Many shipping companies consider demand forecasting an advanced procurement capability. In practice, the first implementation step is often much simpler. Most fleets already hold the data required to forecast fleet-wide lubricant demand.
Technical departments maintain vessel lubrication charts and tank specifications. Procurement teams manage contractual prices and supplier agreements. Remaining-on-board information (ROB) and vessel schedules are tracked through fleet performance tools, voyage management systems, ERP platforms, or simple spreadsheets.
The main challenge is not missing data, but fragmented information. Important data points are typically stored across different systems and owned by different stakeholders. Demand forecasting therefore begins by bringing these elements together into a single operational view.
Step 1 - Aggregate the existing data
The first step is to consolidate all available information and identify potential gaps.
For marine lubricants, the most important technical data usually includes vessel lubrication charts, the number of lubricant tanks per vessel, maximum tank capacities, and the product assigned to each tank. Safety reserve limits and operational warning thresholds should also be included, as these define when a vessel will require replenishment.
This information is normally available in fleet performance tools or technical documentation. The goal is simply to centralize it so that vessel consumption can also be accessed by the procurement team to be evaluated consistently.
Step 2 - Create visibility on port calls and supply options
Demand forecasting requires visibility not only on consumption but also on where vessels will be able to lift products and how supply costs may differ between available options - whether across different ports or contractual agreements.
For this reason, vessel schedules or port call data should be stored in a central location and combined with existing contractual terms, primarily product unit prices per port in addition to any port specific extra charges. Depending on the company, this information may come from an ERP system, a planned maintenance system, a voyage management tool, or a structured spreadsheet.
Procurement teams should maintain the overview of contractual product prices by port and, where possible, enrich it with additional information such as port-specific charges or supply limitations. In many organizations, this information still exists only in scattered Excel files. Consolidating supplier price lists into a structured format allows procurement teams to evaluate supply options more effectively once demand becomes visible.
Step 3 - Establish a joint demand review process
Once the core data is consolidated, the next step is to establish a regular coordination process between technical and procurement teams.
Technical teams typically lead on consumption monitoring. Based on tank capacities, safety reserves, and remaining-on-board (ROB) levels, they can estimate how many days remain before a vessel reaches its reserve threshold.
Procurement teams then assess possible supply locations based on vessel schedules, contractual prices, and logistical constraints. Regular discussions between both teams allow upcoming demand across the fleet to be reviewed and proritized earlier - often well before vessels submit their formal requisitions.
Step 4 - Integrate forecasting into daily procurement workflows
The final step is to connect tactical demand forecasting with daily procurement processes.
Procurement teams should track incoming vessel requisitions against the regular demand forecast and follow up with the crew if necessary. This ensures that vessel requests reflect the broader demand planning and helps avoid last-minute supply decisions.
With better visibility, procurement teams can plan deliveries earlier, compare suppliers more effectively, and coordinate vessel supplies more strategically.
Over time, these recurring planning cycles become part of a company’s operational routine.
Practical takeaway
Implementing demand forecasting does not require a complex system from the start. The most important step is bringing together the information that already exists across technical and procurement teams.
Once vessel consumption data, schedules, and price lists are visible in one place, fleets can begin reviewing upcoming demand in a structured way. This simple shift allows marine lubricant procurement to move from reactive ordering toward proactive fleet planning.
