Production planning in food and FMCG manufacturing is fundamentally different from production planning in discrete manufacturing. The differences are not cosmetic. They affect which software can actually plan your production reliably — and which software will produce plans that look correct but break in execution. --- The Three Capabilities Standard MRP Doesn't Have Capability 1: Shelf-life aware scheduling. Standard MRP schedules production based on material availability. It asks: do we have enough of ingredient X to run this production order? Food and FMCG production planning requires a different question. Do we have enough of ingredient X, with sufficient remaining shelf life, to produce a batch that will meet our customer's minimum remaining shelf life requirement at the expected delivery date? This calculation requires knowing the expiry date of every available batch, the production date, the expected delivery date, and the customer's minimum shelf life requirement. Standard MRP does not perform this calculation. It schedules against availability. The shelf life problem surfaces later — at picking, or worse, at the distributor's warehouse. Capability 2: Allergen and cleaning changeover sequencing. Food manufacturing changeover sequences carry compliance and safety implications that standard MRP scheduling does not model. Running a peanut-containing product immediately before a peanut-free product requires a full allergen clean-down. Running a chilled product immediately before an ambient product may require a temperature stabilisation period. These constraints must be modelled in the planning system — not managed through supervisor knowledge. When the experienced supervisor is absent, supervisor-knowledge-based changeover management fails. The constraint needs to be in the system. Capability 3: Real-time yield feedback. Food and FMCG yield variability is higher than in most discrete manufacturing environments. A fresh produce processing line may yield 72% on one batch and 85% on the next, depending on the quality of incoming material. When actual yield differs from standard, the material balance and the production schedule both need to update immediately. Standard MRP runs on standard yield assumptions until the next planning cycle. By that point, the yield variance has already created shortfalls or surpluses that the plan did not anticipate. --- What to Look for When Evaluating Production Planning Software Capability Question to Ask the Vendor Shelf-life aware scheduling Does the system check batch expiry against customer minimum shelf life at the point of scheduling? Allergen changeover rules Can changeover sequences be enforced as system constraints that cannot be bypassed? Real-time yield feedback Does actual yield from a completed work order update the material balance immediately? WhatsApp order signal ingestion Does the planning signal include orders from WhatsApp and unstructured email, or only structured EDI? ERP integration Is the ERP integration real-time or batch? Which ERP versions are supported? Implementation timeline How long to production for initial use cases without requiring dedicated IT project resources? --- The India-Specific Context Food and FMCG manufacturers in India face an additional layer of complexity that European and North American production planning tools are not designed for. The demand signal is predominantly WhatsApp-based. Distributors and stockists order via WhatsApp — and those orders need to feed the production plan in real time. A production planning system that only reads structured EDI or portal orders is missing the majority of the demand signal for most Indian food and FMCG manufacturers. The order management layer and the production planning layer must be connected. Orders that arrive via WhatsApp must be extracted, validated, and reflected in the production plan within minutes of receipt — not hours later after manual ERP entry. This connection — between real-time order intake and production planning — is the capability that most category tools describe in general terms but few deliver for the Indian mid-market context. It is also the capability that creates the most immediate operational improvement. It closes the gap between when customers commit to buying and when production knows it needs to produce. --- The Compliance and Traceability Layer Food and FMCG production planning in India operates within a compliance environment that adds requirements beyond what standard planning tools support. FSSAI licensing requirements create documentation obligations that must be met for every production batch. Export certification requirements (BRC, FSSC 22000, Halal, Kosher) add further traceability and process documentation requirements. Customer audit requirements from large retail chains and institutional buyers add yet another layer of documentation that must be available on demand. These compliance requirements are not separate from production planning. They are embedded in it. Every scheduling decision has a compliance dimension: which batch of raw material was used, under which process conditions, at what critical control point readings, with which cleaning validation in place before the run started. Production planning software that treats compliance documentation as a separate system — requiring manual reconciliation between the production record and the compliance record — creates the documentation burden that has made food manufacturing compliance expensive and error-prone. Planning software with integrated traceability captures the compliance documentation as a by-product of the planning and execution process. --- Evaluating Vendor Claims About Food Manufacturing Capability Many production planning software vendors claim food manufacturing capability. The claims are often genuine but the depth varies significantly. The questions that reveal actual depth are specific: Does the system check batch expiry against customer minimum shelf life at the point of scheduling, or at the point of picking? Can allergen changeover rules be enforced as system constraints, or are they implemented as advisory warnings that operators can dismiss? Does actual yield from a completed work order update the material balance immediately, or at the next planning cycle? These questions are not trick questions. They are the practical tests of whether a food-specific planning capability is actually food-specific or is a discrete manufacturing planning system with a food-flavoured user interface. The answers determine whether the software will reduce the planning exceptions that cost money in food manufacturing — shelf-life rejections, allergen non-conformances, material shortages from yield variance — or will require the same level of manual management that the current process requires, with the added complexity of a new system to maintain. --- The Total Cost of the Wrong Software Choice Food and FMCG manufacturers who choose production planning software that lacks the food-specific capabilities described above do not discover the problem at implementation. They discover it gradually, over 12–18 months of working around the software's limitations. The workarounds become institutional. A spreadsheet maintained by one experienced planner manages the shelf-life allocation that the software cannot do. A whiteboard in the production manager's office tracks the allergen changeover sequence that the system cannot enforce. A daily WhatsApp message from the quality manager tells the production planner which batches are on hold — because the system does not propagate hold status automatically. Each workaround has a cost. The spreadsheet is accurate when the experienced planner is in the office and unavailable when they are not. The whiteboard is current for the shift that maintains it and a liability for the shift that inherits it. The WhatsApp message is sent when the quality manager remembers and missed when they are in a meeting. Choosing software with genuine food manufacturing capability eliminates the need for these workarounds. The shelf-life check is in the system. The allergen constraint is enforced. The hold propagates automatically. The planning team does planning rather than managing the gaps between what the software does and what the operation requires. --- The Total Cost of Choosing the Wrong Software Food and FMCG manufacturers who choose production planning software lacking food-specific capabilities do not discover the problem at implementation. They discover it gradually over 12–18 months of working around the software's limitations. The workarounds become institutional. A spreadsheet maintained by one experienced planner manages the shelf-life allocation that the software cannot do. A whiteboard tracks the allergen changeover sequence the system cannot enforce. A daily WhatsApp message from the quality manager tells the production planner which batches are on hold — because the system does not propagate hold status automatically. Each workaround has a cost. The spreadsheet is accurate when the experienced planner is in the office and unavailable when they are not. The whiteboard is current for the shift that maintains it and a liability for the shift that inherits it. The WhatsApp message arrives when the quality manager remembers and is missed when they are in a meeting. Choosing software with genuine food manufacturing capability eliminates the need for these workarounds. The shelf-life check is in the system. The allergen constraint is enforced. The hold propagates automatically. The planning team does planning — rather than managing the gaps between what the software does and what the operation requires. The evaluation question is not whether the software has food manufacturing features. It is whether those features are deep enough to replace the workarounds that currently exist in your operation. The difference between a food manufacturing feature that is implemented and a workaround that is still needed is the difference between software that reduces operational overhead and software that adds a new system to manage alongside the existing workarounds.