Stock rotation and seasonality of B2B dried fruits

For a food wholesaler as well as for their professional clients (HORECA, gourmet grocery stores, pastry chefs, caterers), dried fruits, dehydrated fruits, and nuts are not products with constant availability throughout the year. Seasonal harvests, multiple geographic origins, calendar-based consumption peaks, and long logistical lead times require rigorous purchase planning. Poor anticipation risks stockouts at the worst possible time or, conversely, tying up unnecessary cash flow in aging inventory. This article opens our new Market Trends section and lays the groundwork for professional purchasing management: harvest calendar, demand peaks, FIFO method, stock coverage calculation, and long-order anticipation.

Why the harvest calendar determines the quality and availability of dried fruits

Each family of dried and dehydrated fruits follows a harvest cycle specific to its origin, with direct consequences on available size, batch freshness, and price level. An order placed outside the harvest season, on old stock, does not offer the same guarantees as a purchase made just after the new harvest.

The following table summarizes the harvest periods for the main product families handled by Palimex and their impact on professional purchasing activity:

Product family	Harvest period	Main origins	Impact on professional purchasing
Almond	Late August to October	California, Spain	New harvest available in bulk from November; more homogeneous and larger sizes at the start of the season
Walnut	September to October (northern hemisphere) / February to March (southern hemisphere)	France, California, Chile	Dual harvest window allowing for year-round supply smoothing if sourcing is diversified
Date	September to November	Tunisia, Algeria, Gulf countries	Harvest window that directly precedes the Ramadan demand peak in the following campaigns
Dried fig	August to September	Turkey	Natural drying dependent on climatic conditions; size variability from one season to the next
Dried apricot	July to August, drying until September	Turkey	Quality and moisture content closely linked to post-harvest drying conditions

This calendar has a direct practical consequence: a batch purchased just after harvest generally offers better size homogeneity and a longer best-before date upon receipt, facilitating downstream stock management. Conversely, a purchase made at the very end of the season, on residual stock, exposes the buyer to more heterogeneous batches and a reduced commercial shelf life. Sourcing and batch traceability are, moreover, essential control points, detailed in our dedicated article on HACCP compliance and batch management in storage.

Ramadan, end-of-year holidays, back-to-school: mapping professional consumption peaks

Demand for dried fruits and dehydrated fruits is not linear throughout the year. Three periods concentrate the majority of consumption peaks for food professionals, each with its own key products and specific calendar constraints.

• Ramadan: major peak for dates, but also for almonds, figs, and mixed dried fruits used in Middle Eastern pastries. The date shifts back by about eleven days each year in the Gregorian calendar, requiring a yearly review of the ordering window.
• End-of-year holidays: high demand for aperitif mixes, whole dried fruits for the table, candied fruits, and in-shell nuts. The professional ordering period generally starts as early as September-October to secure volumes.
• September back-to-school: a more moderate but structuring peak, linked to the resumption of activity in the HORECA sector, bakeries-pastry shops, and grocery stores after the summer break, with restocking of basic items.

These three windows never overlap in the same months from one year to the next for Ramadan, which requires recalculating each year's own purchasing timeline rather than mechanically reproducing the previous year's calendar.

Building stock before a peak without overstocking

Anticipating a consumption peak requires building a buffer stock before the high-demand period. However, this precautionary approach carries a symmetrical risk: overstocking, which ties up cash flow, occupies storage space, and exposes batches to aging beyond their optimal commercial window.

At Palimex, we observe the same pattern every year with some clients: an order placed too large before Ramadan or the holidays, out of fear of stockouts, results in residual stock lingering in the warehouse for several months. Our field recommendation is simple: it is better to secure coverage of 4 to 6 weeks beyond the estimated peak, with a quick supplementary order if demand exceeds forecasts, rather than immediately doubling usual volumes.

To balance security and overstocking, several criteria must be cross-referenced before validating an order volume:

• Sales history for the same peak the previous year, adjusted for growth or decline in activity since then
• The product's remaining shelf life (best-before date) relative to the planned delivery date
• Actual available storage capacity, particularly for full carton or pallet packaging
• Possible replenishment lead time in case of higher-than-expected demand, especially for distant origins

Poorly anticipated overstocking is not just a financial cost: it also complicates batch rotation and can compromise traceability compliance if multiple batch numbers overlap in storage over an extended period.

FIFO rotation and stock coverage calculation: the method for managing your purchases

The FIFO (First In, First Out) method is the foundation of professional stock rotation for products with a best-before date: the first batches in must be the first out, ensuring no packaging remains in storage beyond its optimal freshness window. This rule applies to both bulk storage and carton or HORECA packaging.

Beyond physical rotation, purchase management relies on a key indicator: stock coverage, which expresses in days or weeks how long the available stock can meet average consumption without new supply.

Indicator	Formula	Applied example
Average daily consumption	Volume consumed over a period / number of days in the period	300 kg sold over 30 days = 10 kg/day
Stock coverage (in days)	Available stock / average daily consumption	150 kg in stock / 10 kg per day = 15 days of coverage
Reorder threshold	Average daily consumption x supplier delivery lead time	10 kg/day x 12-day lead time = order triggered at 120 kg of remaining stock

This coverage calculation must be adjusted upward in the weeks preceding an identified peak (Ramadan, holidays, back-to-school), incorporating an increase in expected average consumption rather than relying on the smoothed annual average. It must then be recalibrated downward as soon as the peak ends to avoid maintaining an oversized order rhythm once demand has subsided.

Anticipating long orders: securing supply from distant origins

Dried fruits and dehydrated fruits mainly come from origins outside Europe or with long logistical distances (California, Turkey, Tunisia, Gulf countries). These supply chains involve maritime or air transport lead times, customs formalities, and sometimes quality checks upon receipt, which mechanically extend the time between order placement and actual product availability.

For volumes intended to cover a consumption peak, the order must therefore be placed well in advance of the actual need date, rather than based on the usual lead time for regular replenishment. This anticipation is particularly critical for:

1. Dates intended for Ramadan, whose harvest window and demand peak converge in some years, reducing logistical flexibility
2. Dried fruits for the end-of-year holidays, which must be ordered by the end of summer to account for transport and packaging lead times
3. Products subject to limited availability at the end of the harvest season, where remaining volumes on the global market can quickly become scarce

Beyond the product itself, delivery logistics directly impact the ability to meet a tight purchasing schedule. Delivery terms for full pallets and free shipping thresholds, detailed in our article on free shipping and pallet delivery, must be integrated from the planning phase to group orders coherently without facing stockouts due to lack of anticipation.

Building an annual purchasing calendar: the operational summary

Planning dried fruit and dehydrated fruit purchases throughout the year relies on combining four levers: knowledge of the harvest calendar by product family, precise identification of consumption peaks specific to the company's activity, FIFO rotation management with regularly updated stock coverage calculation, and anticipation of long-order lead times for distant origins.

In practice, an effective annual purchasing calendar for a food sector professional is generally organized as follows:

• A monthly stock coverage review for all regularly rotating references
• A quarterly review of the harvest calendar for the origins worked with, to adjust purchasing windows to new seasons
• Planning 6 to 10 weeks in advance for each identified peak (Ramadan, holidays, back-to-school), incorporating transport and customs lead times
• Systematic control of received batch compliance and their best-before date, in line with HACCP traceability requirements applicable to professional storage

This calendar-based approach, specific to each product family and consumption cycle, helps limit both the risk of stockouts during high-demand periods and the risk of overstocking once the peak has passed. To further explore regulatory issues related to storage and batch management, also consult our article on HACCP compliance for dried fruits, as well as our resources on storage and best-before date management and on choosing the right size for professional purchasing. For additional market data on nut and dried fruit production volumes, the publications of FranceAgriMer are a useful reference for adjusting purchasing forecasts.

In summary, planning dried fruit purchases throughout the year is not an additional administrative constraint but a direct lever for profitability and service quality for food professionals. Rigorous FIFO rotation, regularly updated stock coverage calculation, and anticipation of long orders allow each consumption peak to be approached with confidence, without compromising product freshness or the company's cash flow.