{"id":6131,"date":"2026-09-06T21:28:32","date_gmt":"2026-09-06T15:58:32","guid":{"rendered":"https:\/\/www.navfarm.com\/blog\/?p=6131"},"modified":"2026-09-14T11:52:25","modified_gmt":"2026-09-14T06:22:25","slug":"poultry-demand-forecasting-software-plan-production-chick-placement-egg-requirement-and-farm-capacity","status":"publish","type":"post","link":"https:\/\/www.navfarm.com\/blog\/poultry-demand-forecasting-software-plan-production-chick-placement-egg-requirement-and-farm-capacity\/","title":{"rendered":"Poultry Demand Forecasting Software: Plan Production, Chick Placement, Egg Requirement and Farm Capacity"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\tBook a Free Demo<\/a>\r\n\n\n\n\n

Poultry Production Has to Be Planned Before the Customer Needs the Product<\/h2>\n\n\n\n

Poultry businesses cannot increase production overnight.<\/p>\n\n\n\n

If a customer needs broilers next week, placing more chicks today will not solve the problem.<\/p>\n\n\n\n

If customers need more day old chicks, the hatchery needs enough hatching eggs at the right time.<\/p>\n\n\n\n

Those eggs depend on breeder production.<\/p>\n\n\n\n

Broiler production depends on chick placement, farm capacity, feed availability and the growing cycle.<\/p>\n\n\n\n

Layer egg availability depends on flock age, laying performance and current bird population.<\/p>\n\n\n\n

This makes demand forecasting particularly important in poultry.<\/p>\n\n\n\n

The business needs to understand what customers are likely to require and compare that demand with what farms, hatcheries and processing operations are expected to produce.<\/p>\n\n\n\n

ERP for Poultry Farm<\/strong><\/a> helps connect future customer demand with production planning, chick placement, egg requirements, hatchery planning, farm capacity and other operational requirements.<\/p>\n\n\n\n

The purpose is not simply to create a sales forecast.<\/p>\n\n\n\n

The real value comes when that forecast is converted into an operational poultry plan.<\/p>\n\n\n\n

Why Demand Planning Is Difficult in Poultry<\/h2>\n\n\n\n

Demand can change quickly.<\/p>\n\n\n\n

Production cannot.<\/p>\n\n\n\n

That difference creates one of the biggest planning challenges for poultry companies.<\/p>\n\n\n\n

A business may have demand from:<\/p>\n\n\n\n

Distributors<\/p>\n\n\n\n

Wholesalers<\/p>\n\n\n\n

Retailers<\/p>\n\n\n\n

Hotels and restaurants<\/p>\n\n\n\n

Institutional customers<\/p>\n\n\n\n

Processing plants<\/p>\n\n\n\n

Internal companies<\/p>\n\n\n\n

Contract customers<\/p>\n\n\n\n

Direct customers<\/p>\n\n\n\n

Different customers may require different products, quantities and delivery dates.<\/p>\n\n\n\n

At the same time, production has biological limitations.<\/p>\n\n\n\n

Birds need time to grow.<\/p>\n\n\n\n

Breeders produce a limited number of eggs.<\/p>\n\n\n\n

Hatchability varies.<\/p>\n\n\n\n

Mortality affects available birds.<\/p>\n\n\n\n

Farm capacity is limited.<\/p>\n\n\n\n

Feed has to be available.<\/p>\n\n\n\n

Processing plants have daily capacity limits.<\/p>\n\n\n\n

A realistic demand plan therefore needs more than a sales forecast in Excel.<\/p>\n\n\n\n

Demand Forecasting Should Start With What Customers Actually Buy<\/strong><\/h2>\n\n\n\n

Historical sales can provide a useful starting point.<\/p>\n\n\n\n

The business can review:<\/p>\n\n\n\n

Product<\/p>\n\n\n\n

Customer<\/p>\n\n\n\n

Sales quantity<\/p>\n\n\n\n

Order frequency<\/p>\n\n\n\n

Season<\/p>\n\n\n\n

Location<\/p>\n\n\n\n

Delivery period<\/p>\n\n\n\n

Sales channel<\/p>\n\n\n\n

Historical growth<\/p>\n\n\n\n

Past shortages<\/p>\n\n\n\n

Past excess production<\/p>\n\n\n\n

This helps identify recurring demand patterns.<\/p>\n\n\n\n

But historical sales should not be the only input.<\/p>\n\n\n\n

The forecast should also consider what the sales team knows about future demand.<\/p>\n\n\n\n

Confirmed Customer Orders Should Be the Strongest Demand Signal<\/h2>\n\n\n\n

A forecast is an estimate.<\/p>\n\n\n\n

A confirmed customer order is an actual requirement.<\/p>\n\n\n\n

The planning process should clearly distinguish between the two.<\/p>\n\n\n\n

For example, the business may have:<\/p>\n\n\n\n

50,000 confirmed orders<\/p>\n\n\n\n

20,000 expected repeat orders<\/p>\n\n\n\n

10,000 additional forecast demand<\/p>\n\n\n\n

The planning team should be able to see how much demand is confirmed and how much is forecast.<\/p>\n\n\n\n

This helps management understand the level of certainty behind the production plan.<\/p>\n\n\n\n

Sales Forecast and Customer Orders Should Work Together<\/h2>\n\n\n\n

A poultry business may receive firm orders only a few days before delivery, while production needs to be planned weeks or months earlier.<\/p>\n\n\n\n

Waiting for confirmed orders may therefore be too late.<\/p>\n\n\n\n

The sales team can prepare a forecast based on:<\/p>\n\n\n\n

Existing customer commitments<\/p>\n\n\n\n

Historical demand<\/p>\n\n\n\n

Seasonality<\/p>\n\n\n\n

Current enquiries<\/p>\n\n\n\n

Expected contracts<\/p>\n\n\n\n

Sales team input<\/p>\n\n\n\n

Market conditions<\/p>\n\n\n\n

Promotions<\/p>\n\n\n\n

Management expectations<\/p>\n\n\n\n

The forecast can then be updated as actual orders arrive.<\/p>\n\n\n\n

This creates a rolling demand plan rather than a forecast prepared once and forgotten.<\/p>\n\n\n\n

Demand Planning Should Be Product Specific<\/h2>\n\n\n\n

A total poultry demand number is not enough.<\/p>\n\n\n\n

The business needs to know what customers are expected to buy.<\/p>\n\n\n\n

Demand may need to be forecast separately for:<\/p>\n\n\n\n

Day old chicks<\/p>\n\n\n\n

Broilers<\/p>\n\n\n\n

Live birds<\/p>\n\n\n\n

Table eggs<\/p>\n\n\n\n

Hatching eggs<\/p>\n\n\n\n

Whole chicken<\/p>\n\n\n\n

Fresh chicken<\/p>\n\n\n\n

Frozen chicken<\/p>\n\n\n\n

Breast<\/p>\n\n\n\n

Wings<\/p>\n\n\n\n

Legs<\/p>\n\n\n\n

Other processed products<\/p>\n\n\n\n

Feed<\/p>\n\n\n\n

The planning logic for each product can be different.<\/p>\n\n\n\n

For example, demand for day old chicks affects hatchery planning, while demand for processed chicken affects both broiler availability and processing requirements.<\/p>\n\n\n\n

Poultry Demand Should Be Planned by Time Period<\/h2>\n\n\n\n

A monthly total can hide important shortages.<\/p>\n\n\n\n

Suppose expected demand is 400,000 birds for a month.<\/p>\n\n\n\n

That does not mean the business simply needs 400,000 birds sometime during that month.<\/p>\n\n\n\n

Customers may require:<\/p>\n\n\n\n

80,000 in week one<\/p>\n\n\n\n

120,000 in week two<\/p>\n\n\n\n

90,000 in week three<\/p>\n\n\n\n

110,000 in week four<\/p>\n\n\n\n

Production needs to be available in the correct week.<\/p>\n\n\n\n

Depending on the operation, planning may therefore be done by:<\/p>\n\n\n\n

Day<\/p>\n\n\n\n

Week<\/p>\n\n\n\n

Month<\/p>\n\n\n\n

Production cycle<\/p>\n\n\n\n

Delivery date<\/p>\n\n\n\n

This makes the forecast more useful for operational planning.<\/p>\n\n\n\n

Demand Should Be Compared with Expected Production<\/h2>\n\n\n\n

Creating a demand forecast is only the first step.<\/p>\n\n\n\n

The next question is more important.<\/p>\n\n\n\n

Can we produce enough to meet that demand?<\/p>\n\n\n\n

The system should compare:<\/p>\n\n\n\n

Confirmed orders<\/p>\n\n\n\n

Forecast demand<\/p>\n\n\n\n

Current inventory<\/p>\n\n\n\n

Expected farm production<\/p>\n\n\n\n

Expected hatchery output<\/p>\n\n\n\n

Expected egg production<\/p>\n\n\n\n

Expected processing output<\/p>\n\n\n\n

Already committed quantities<\/p>\n\n\n\n

Expected available quantity<\/p>\n\n\n\n

This creates a demand versus supply view.<\/p>\n\n\n\n

Demand Versus Supply Can Highlight Future Shortages<\/h2>\n\n\n\n

Suppose the business expects demand for 200,000 broilers in a particular week.<\/p>\n\n\n\n

Expected farm availability is only 175,000 birds.<\/p>\n\n\n\n

The business can see a potential shortage of 25,000 birds before the delivery week arrives.<\/p>\n\n\n\n

Management now has time to review the situation.<\/p>\n\n\n\n

Depending on the business and available lead time, the team may:<\/p>\n\n\n\n

Review customer priorities<\/p>\n\n\n\n

Adjust future placement<\/p>\n\n\n\n

Review farm allocation<\/p>\n\n\n\n

Use another farm<\/p>\n\n\n\n

Change processing plans<\/p>\n\n\n\n

Discuss delivery timing with customers<\/p>\n\n\n\n

Review external sourcing if permitted<\/p>\n\n\n\n

The important point is that the shortage becomes visible early.<\/p>\n\n\n\n

Excess Production Should Also Be Visible<\/h2>\n\n\n\n

Demand forecasting is not only about preventing shortages.<\/p>\n\n\n\n

Excess production can also create problems.<\/p>\n\n\n\n

For live birds, keeping birds beyond the planned sale age may affect feed consumption, weight and production economics.<\/p>\n\n\n\n

For eggs and processed products, excess stock can create storage and shelf-life challenges.<\/p>\n\n\n\n

The system should therefore identify situations where expected production is significantly higher than demand.<\/p>\n\n\n\n

This allows sales and operations teams to act before excess production becomes a larger problem.<\/p>\n\n\n\n

Broiler Demand Should Drive Chick Placement Planning<\/h2>\n\n\n\n

Broiler production planning should work backwards from the required sale or processing date.<\/p>\n\n\n\n

Suppose the business expects to require 100,000 saleable broilers in a future week.<\/p>\n\n\n\n

The business cannot simply place 100,000 chicks and assume all of them will be available.<\/p>\n\n\n\n

Planning may need to consider:<\/p>\n\n\n\n

Expected mortality<\/p>\n\n\n\n

Production cycle<\/p>\n\n\n\n

Target age<\/p>\n\n\n\n

Target body weight<\/p>\n\n\n\n

Farm capacity<\/p>\n\n\n\n

Placement date<\/p>\n\n\n\n

Breed<\/p>\n\n\n\n

Historical farm performance<\/p>\n\n\n\n

The required chick placement can then be calculated based on the expected saleable population.<\/p>\n\n\n\n

This is one of the most useful connections between demand forecasting and poultry farm planning.<\/p>\n\n\n\n

Chick Placement Should Consider Expected Mortality<\/h2>\n\n\n\n

If the business needs a particular number of saleable birds, mortality needs to be considered in the placement plan.<\/p>\n\n\n\n

For example, the required placement quantity may need to be higher than the final sales requirement.<\/p>\n\n\n\n

The exact calculation depends on the expected mortality assumptions used by the business.<\/p>\n\n\n\n

Using historical farm and breed performance can make this assumption more realistic.<\/p>\n\n\n\n

As actual mortality is recorded during the cycle, the expected available quantity can also be revised.<\/p>\n\n\n\n

Placement Planning Should Consider the Production Cycle<\/h2>\n\n\n\n

The required delivery date determines when birds need to be ready.<\/p>\n\n\n\n

That determines when chicks need to be placed.<\/p>\n\n\n\n

The planning process can work backwards from:<\/p>\n\n\n\n

Required sales date<\/p>\n\n\n\n

Expected processing date<\/p>\n\n\n\n

Target bird age<\/p>\n\n\n\n

Growing period<\/p>\n\n\n\n

Placement date<\/p>\n\n\n\n

This helps ensure that chick placement is aligned with future market requirements.<\/p>\n\n\n\n

Farm Capacity Must Be Checked Before Confirming the Placement Plan<\/h2>\n\n\n\n

Knowing how many chicks need to be placed is not enough.<\/p>\n\n\n\n

The business also needs somewhere to place them.<\/p>\n\n\n\n

Farm capacity planning should consider:<\/p>\n\n\n\n

Farm<\/p>\n\n\n\n

House or shed<\/p>\n\n\n\n

Farm area<\/p>\n\n\n\n

Bird capacity<\/p>\n\n\n\n

Current flock<\/p>\n\n\n\n

Expected depletion date<\/p>\n\n\n\n

Cleaning period<\/p>\n\n\n\n

Downtime<\/p>\n\n\n\n

Next available placement date<\/p>\n\n\n\n

Biosecurity requirements<\/p>\n\n\n\n

Production type<\/p>\n\n\n\n

The system can then show whether sufficient capacity is available for the planned placement.<\/p>\n\n\n\n

Farm Availability Is Different from Total Farm Capacity<\/h2>\n\n\n\n

A farm may have capacity for 100,000 birds.<\/p>\n\n\n\n

That does not mean 100,000 spaces are available today.<\/p>\n\n\n\n

Some houses may already contain birds.<\/p>\n\n\n\n

Others may be under cleaning or preparation.<\/p>\n\n\n\n

Some may be reserved for future placement.<\/p>\n\n\n\n

The planning system should therefore consider available capacity by date rather than only total farm capacity.<\/p>\n\n\n\n

This gives the planner a much more realistic view.<\/p>\n\n\n\n

Farm Area Can Be Used in Capacity Planning<\/h2>\n\n\n\n

Depending on the poultry operation, farm capacity may also be linked with usable area and stocking standards.<\/p>\n\n\n\n

The system can maintain relevant farm and house information and use it during placement planning.<\/p>\n\n\n\n

This helps planners avoid relying only on manually maintained capacity sheets.<\/p>\n\n\n\n

For businesses operating many farms, having a central capacity view can significantly improve planning.<\/p>\n\n\n\n

Placement Calendar Gives Management a Forward View<\/h2>\n\n\n\n

A placement calendar can show future chick placements across farms.<\/p>\n\n\n\n

The planner can review:<\/p>\n\n\n\n

Placement date<\/p>\n\n\n\n

Farm<\/p>\n\n\n\n

House<\/p>\n\n\n\n

Breed<\/p>\n\n\n\n

Planned chicks<\/p>\n\n\n\n

Expected depletion date<\/p>\n\n\n\n

Next available date<\/p>\n\n\n\n

Expected production period<\/p>\n\n\n\n

This makes it easier to identify capacity conflicts before they happen.<\/p>\n\n\n\n

Broiler Availability Forecast Should Change as the Batch Performs<\/h2>\n\n\n\n

The original production plan is based on assumptions.<\/p>\n\n\n\n

Actual farm performance may be different.<\/p>\n\n\n\n

For example:<\/p>\n\n\n\n

Mortality may be higher than expected.<\/p>\n\n\n\n

Growth may be slower.<\/p>\n\n\n\n

Average body weight may be below target.<\/p>\n\n\n\n

The expected saleable quantity should therefore be updated using actual farm information.<\/p>\n\n\n\n

This gives the sales and operations teams a more realistic view of future bird availability.<\/p>\n\n\n\n

Day-Old Chick Demand Requires Hatchery Planning<\/h2>\n\n\n\n

For hatchery businesses, customer demand can be converted into a chick production requirement.<\/p>\n\n\n\n

Suppose customers require 500,000-day old chicks in a future week.<\/p>\n\n\n\n

The hatchery needs to determine how many eggs should be set to achieve the required chick output.<\/p>\n\n\n\n

This depends on expected hatchability and other hatchery planning assumptions.<\/p>\n\n\n\n

The planning process can therefore connect:<\/p>\n\n\n\n

Customer demand<\/p>\n\n\n\n

Required chicks<\/p>\n\n\n\n

Expected hatchability<\/p>\n\n\n\n

Egg setting requirement<\/p>\n\n\n\n

Setter capacity<\/p>\n\n\n\n

Hatcher capacity<\/p>\n\n\n\n

Hatching egg availability<\/p>\n\n\n\n

This creates a much stronger connection between sales and hatchery operations.<\/p>\n\n\n\n

For businesses working across multiple agricultural sectors, ERP software for dairy industry<\/strong><\/a> can support similar planning needs in dairy operations.<\/p>\n\n\n\n

Organisations managing broader farm activities can also use livestock management software<\/strong><\/a> to bring production information and operational planning together.<\/p>\n\n\n\n

For diversified agricultural businesses, Crop Management Software<\/strong><\/a> can help manage crop-related operations, while Aqua Management Software<\/strong><\/a> supports aquaculture activities.<\/p>\n\n\n\n

An integrated platform such as NAVFarm<\/strong><\/a> can provide a broader approach for businesses managing different agricultural and production requirements.<\/p>\n","protected":false},"excerpt":{"rendered":"

Poultry Production Has to Be Planned Before the Customer Needs the Product Poultry businesses cannot increase production overnight. If a customer needs broilers next week, … Read More ›<\/a><\/span><\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[137,140,299,300,268],"tags":[145,179,144],"class_list":["post-6131","post","type-post","status-publish","format-standard","hentry","category-poultry","category-blog","category-poultry-farm-management-software","category-poultry-hatchery-erp-software-2","category-poultry-management-software","tag-poultry-farm-management-software","tag-livestockmanagement","tag-poultry-erp-solutions"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/posts\/6131","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/comments?post=6131"}],"version-history":[{"count":2,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/posts\/6131\/revisions"}],"predecessor-version":[{"id":6140,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/posts\/6131\/revisions\/6140"}],"wp:attachment":[{"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/media?parent=6131"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/categories?post=6131"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/tags?post=6131"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}