How to limit inventory discrepancies and ensure reliable stock data in multi-site foodservice operations

Understanding what inventory discrepancies are

In foodservice, goods flows are numerous, heterogeneous and often decentralized. This complexity frequently leads to misalignments between theoretical data from the information system and the physical reality observed during inventories. This is known as inventory discrepancy. It is a warning signal about the quality of flow management, data entry, or unidentified losses.

• Known loss: seized losses (expired, damaged, errors, etc.)
• Unknown loss: unexplained discrepancies (theft, overconsumption, receipt or entry errors)

The economic and operational consequences of discrepancies

Inventory discrepancies are not mere administrative anomalies. They have a direct impact on plant profitability, the ability to effectively steer purchasing, to meet contractual commitments (particularly in the context of calls for tender) and on compliance with HACCP traceability requirements. In a multi-site context, every inconsistency has repercussions across the group.

Identifying the operational causes of inventory discrepancies in foodservice

Differentiated analysis of the causes of these discrepancies more often than not makes it possible to avoid global, ineffective measures. It is essential to distinguish between structural errors (technical data sheets, reference units, IS settings) and field execution errors (entries, omissions, bypass behaviors). This analysis grid needs to be adapted between decentralized levels (sites) and logistical levels (central kitchens).

At central kitchen level:

• Receiving errors (units, weight, actual vs. ordered quantity)

These are discrepancies between what was ordered, what was delivered, and what is actually recorded in inventory. These errors often occur due to:

- Confusion between units (piece vs kg, carton vs consumption unit)
- Incorrect weight reading on receipt
- Incorrect entry on the delivery note (e.g. 12 pieces entered instead of 12 kg)

• Bad inter-period carryovers

When closing an inventory period (weekly or monthly), residual stocks must be automatically or manually carried over to initial stock for the next period.

A bad carryover means:

- Products forgotten in the initial inventory
- Valuation differences not correctly included
- Products present in stock without a reference base (no entry movement)

• Products delivered not validated in stock

This refers to a situation where products have indeed been physically delivered, but have never been entered as received in the inventory management system. Stock therefore remains virtually at zero.

Typical causes:

- Forgot to validate delivery note
- Lack of double-check procedure
- EDI interface not synchronized
- Discrepancy between physical receipt and computer entry

• Mismatch between data sheet and production reality

Technical data sheets define the weights and components of each recipe. If they do not reflect reality in the field (e.g. overportioning, undeclared substitutes, cooking losses not integrated), theoretical consumptions become unusable.

Types of discrepancies:

- Theoretical grammage too low / too high
- Planned product replaced in the kitchen by another
- Non-respect of recipe for reasons of flow or local habit

At site level:

Analysis of the causes of inventory discrepancies cannot be limited to the logistics sphere alone. Many anomalies can stem from facility practices: forgotten entries, uncharged overconsumption, local adjustment practices... These behaviors, often dictated by operational pressure, must be integrated into a broader reading of inventory management performance.

• Absence or omission of loss entry

This phenomenon is most often the result of a weakness in the traceability discipline. In the absence of recording, a genuinely lost product (expired, unfit for consumption, broken) is perceived as an unexplained discrepancy. This distorts the vision of discrepancies, prevents corrective analyses and disorganizes the revaluation cycle. The absence of captured losses is often more a process failure than an isolated oversight.

To be put in place: lockout of period closure without declaration of losses on sensitive products, empowerment of a "loss validation" referent at the end of the day, monthly dashboard of the ratio of losses entered to consumption.

• Unallocated consumption (overportion, improvisation)

Reality on the ground sometimes leads teams to modify the quantities served or add ingredients not provided for in the technical data sheet. This type of over-consumption is rarely reported in the allocations, generating a direct inconsistency between theoretical and actual consumption. The difference is then unfairly allocated to shrink.

To be implemented: verification that theoretical and actual grammages served match (via spot weighing), simplified manual imputation procedure for exceptional adjustments, monthly analysis of structural deviations by dish type.

• Products taken out but never decremented

This is a purely technical discrepancy between physical flows (stock removal) and declared flows. This may be due to early withdrawal, use for undeclared production, or poor reserve management practices. These products are therefore "consumed in reality" but not decremented, and reappear as total variance at the next inventory.

To be implemented: obligation to decrement in real time or daily cross-validation by a second operator, weekly cross-checking of production outputs and stock movements, automatic alert on discrepancies between theoretical stocks and critical stock levels.

• Undeclared use of substituted products

The substitution of a product by an equivalent one (due to shortage, practicality or field preference) without an update in the system doubly distorts the stock: the product used is decremented, but the one that was planned theoretically remains present. This disrupts material costs, distorts food cost analysis and invalidates stock tracking by product.

.

To be implemented: simplified substitution procedure with tablet or mobile validation, controlled substitution authorization with budgetary tolerance threshold, weekly report of substitutions made vs. planned for reintegration into material cost analyses.

Recommended variance analysis method

The analysis of these variances must be based on both quantitative data (values, ratios, thresholds) and qualitative data (type of error, recurrence, responsibilities). Three steps are essential to structure the analysis and trigger effective action plans:

a. Systematic measurement of deviations

• Theoretical report vs. final inventory
• Products with variance > parameterized threshold (ex: >10%)
• Monetary valuation of variances

b. Qualification of deviations

c. Analysis by category / 20/80 method

• 20% of products concentrate 80% of deviations
• Prioritize monitoring on high-value or high-turnover products
• Create specific monitoring by category: meats, dairy products, frozen foods

Concrete actions to reduce discrepancies

Once these causes have been identified, each logistics manager in a multi-site catering chain aims to structure his or her action plans by level: centralized logistics (central kitchens) and field operations (establishments). These actions must be simple, measurable, and easy for teams to integrate into their day-to-day work. Ideally, they should be automated as far as possible in a production and stock software.

Central kitchens

• Double check on receipt: quantity/weight
.
• Mandatory validation of inter-site stock movements
.
• Journal of movements accessible via report
• History of inventory modifications (audit trail)

Settlements

• Mandatory recording of losses before inventory closing
• Intermediate inventories on risky products (weekly)
• Locking of data sheets
• Display of theoretical/actual deviations by product

6. Key indicators to be implemented

Gap control involves monitoring regular indicators. These KPIs must be tracked at local and central level to guide corrective actions and mobilize teams.

Contact us now to benefit from a personalized exchange with our foodservice experts and discover how our platform can strengthen the economic performance of your establishments.