A Comparison That Most SMEs Are Overdue to Make
The debate between spreadsheets and dedicated software for production planning is one that most manufacturing SMEs have not explicitly had. They arrived at Excel not through a deliberate choice but through a gradual accumulation: one file for production tracking, another for inventory, another for purchase orders, linked together through formulas and manual effort that nobody ever formally decided to build.
The result is a system that works until scale, complexity, or a single critical error reveals its limits. This article does not argue that Excel is always wrong. It argues that for production planning specifically, the limitations of spreadsheets become increasingly costly as a manufacturing business grows and that understanding those costs clearly is the first step to making a better choice.
What Production Planning Actually Requires
Before comparing tools, it is worth being clear about what production planning requires because it is more complex than it appears from the outside.
Effective production planning requires: real-time visibility into current inventory and WIP levels; accurate Bill of Materials (BOM) to calculate material requirements; capacity data for each work centre and machine; linkage between sales orders and production orders; the ability to reschedule when disruptions occur; and visibility into planned versus actual output. These requirements are not independent; they interact. A change in a sales order should trigger an update to the production plan, which should update material requirements, which should trigger procurement actions if needed.
This interdependency is exactly what spreadsheets struggle to handle.
The Visibility Gap: What You Cannot See in Excel
A spreadsheet is a static document. It reflects the state of information at the moment it was last updated. In a manufacturing environment where production is happening continuously, this means your Excel-based production plan is always slightly out of date and often significantly out of date.
The impact is concrete: you plan a production run based on a stock level that you believe to be accurate. Between the time you checked and the time production starts, another work order has consumed some of that material. You discover the shortfall when production tries to pull material and finds less than expected. The result is a production halt, an emergency purchase, and a delay.
In Odoo, inventory is a live, shared dataset. When material is allocated to a work order, the available quantity for other work orders updates immediately. The production planner sees accurate available stock at the moment of planning, not at the moment of the last Excel update. This visibility gap between Excel’s static snapshot and an ERP’s live view is where a significant proportion of production planning errors originate.
The Collaboration Problem
Production planning is inherently a multi-functional activity. It requires input from and coordination between sales (what orders need to be produced and when), stores (what materials are available), procurement (what is on order and when will it arrive), production (what is the current schedule and capacity), and finance (what are the working capital constraints).
In an Excel environment, coordinating these functions means managing multiple files, multiple update cycles, and multiple versions. The production planner typically sits at the centre of this web, manually consolidating information from all parties before making a plan. The plan then needs to be communicated back to all parties.
This process is slow, error-prone, and excludes real-time information. By the time the consolidated plan is shared, some of the inputs it was based on are already out of date.
In Odoo, all stakeholders access the same system. Sales orders automatically create demand signals for production planning. Inventory is visible to procurement in real time. The production schedule is visible to the shop floor without needing to be communicated separately. Collaboration is built into the architecture, not bolted on through email and WhatsApp.
Manual Work: The Hidden Tax on Your Team’s Time
The manual effort required to maintain an Excel-based production planning system is rarely counted explicitly, but it is significant. Consider what the production planner actually does in a typical week:
Monday: compile production output data from the previous week’s shift reports, update the inventory tracker, reconcile with the stores team’s count, update the production schedule based on new sales orders received. Tuesday through Friday: update the tracker daily, chase up purchase order statuses, update the plan when disruptions occur, prepare the weekly report for management. Plus ongoing: respond to ad-hoc queries from sales about order status, from finance about WIP valuation, from stores about expected material arrivals.
A significant fraction of this work perhaps 40–60% is data maintenance rather than planning. It is the overhead required to keep the spreadsheet system functional. In an ERP, most of this data maintenance happens automatically as transactions are recorded. The planner’s time shifts from maintaining the system to using it from inputting data to making decisions based on data.
Side-by-Side: Excel vs Odoo for Production Planning
Inventory Visibility
- Excel: Static; updated periodically; multiple versions; reconciliation required.
- Odoo: Live, real-time; single source of truth; automatic update on every transaction.
Production Scheduling
- Excel: Manual; disconnected from actual capacity data; updated reactively.
- Odoo: Linked to capacity, BOMs, and sales orders; reschedule scenarios available.
Material Requirements Planning
- Excel: Manual calculation against BOM; error-prone when BOMs change.
- Odoo: Automatic MRP based on live BOM and inventory; updates with demand changes.
Collaboration
- Excel: File sharing; version control issues; information silos between teams.
- Odoo: All stakeholders in the same system; real-time shared visibility.
Error Risk
- Excel: High; manual entry, formula errors, version conflicts.
- Odoo: Low; single entry point, validation rules, automated calculations.
Scalability
- Excel: Degrades as volume and complexity increase. ‘
- Odoo: Designed to scale with business growth.
Reporting
- Excel: Hours of manual compilation; always retrospective.
- Odoo: Real-time dashboards; drill-down to transaction level; available on demand.
The Transition: What It Takes to Move Off Excel
The most common hesitation among SME manufacturers considering this transition is the fear of disruption of moving from a system they know, however imperfect, to a new system with an uncertain learning curve. This concern is legitimate but manageable.
A well-scoped Odoo implementation for manufacturing covering production orders, inventory, BOMs, and procurement typically goes live within 8–12 weeks for an SME. The critical success factors are not technical. They are about data quality (cleaning up BOMs and inventory data before go-live), team buy-in (ensuring the production team understands why the shift is happening and what they will gain), and implementation discipline (committing to enter data into the system in real time, not maintaining parallel spreadsheets as a safety net).
The manufacturers who have made this transition consistently describe the same experience: the first few weeks feel slower, as the team adjusts to new habits. By the end of the first month, the benefits begin to show. By the end of the first quarter, most teams cannot imagine going back.
The Real Question
The question is not whether Odoo is better than Excel for production planning. For any manufacturing business operating at SME scale or above, the answer to that question is straightforward. The real question is: how long can you afford to run your production planning on a system that limits your visibility, fragments your data, and requires significant manual effort to maintain while your competitors, who have made the transition, are making faster, more confident decisions?
The gap compounds. Every month of operating with fragmented, delayed production data is a month of decisions made with less information than the situation required. The cost is often invisible in the margin eroded by preventable stock shortages, in the capacity lost to poorly planned schedules, in the customer relationships strained by late deliveries that better planning would have avoided.
The conversation about moving off spreadsheets is worth having. And the earlier it happens, the sooner the advantages accumulate.
