A briefing from Enmovil for
Perdue Foods

Sixteen hatcheries. Thirteen feed mills. 12.8 million birds a week.
One plan from hatch to shelf.

What does a 35 day broiler lifecycle look like when Walmart runs a 3 percent COGS fine on anything outside the MABD window[1], Super Bowl just pulled 1.48 billion wings through one weekend[2], and an Oracle ERP is still running alongside a Blue Yonder planning bench on a four year modernization that is moving at three different paces[3]? Caddie, Enmovil's agentic AI, sits above the ERP, the planning bench, the plant OEE, and the cold chain[16]. Closes the loop from feed mill to retailer DC without a migration.

The situation

What does 2026 actually feel like inside the number four US poultry producer, four years into a Foods plus AgriBusiness modernization that is running at three different paces?

Perdue Foods harvests roughly 12.8 million birds a week into about 64.77 million pounds ready to cook[4], on a 35 to 42 day broiler lifecycle[4]. Forbes estimates 2025 revenue at roughly 9.4 billion dollars[5]. Walmart food OTIF runs 90 percent on time and 95 percent in full, enforced through a 3 percent COGS fine on out of window loads[1]. Super Bowl LX drove 1.48 billion wings through one weekend, and Perdue booked a reported 12 percent year over year Super Bowl week lift in 2025[2]. HPAI 2.3.4.4b affected roughly 175 million US poultry and 1,075 dairy herds across 17 states from March 2024 to June 2025[6]. Meanwhile Gartner says 55 percent of CPG CSCOs expect only a 5 percent or smaller increase in new technology investment next fiscal[7]. So what does it take to land every retailer MABD window, every foodservice distributor drop, and every wave event, on a stack where Blue Yonder is on the planning bench and Oracle is still the core[8]?

16hatcheries
13 feed mills. Harvest and further processing across Delmarva, North Carolina, Indiana, Kentucky.[4]
12.8Mbirds/wk
Roughly 64.77 million pounds ready to cook per week in 2025. Number four US poultry producer.[4]
35-42day lifecycle
Bird to harvest. Seven handoffs across SAP PP, plant OEE, TMS, WMS, and carrier telemetry.[4]
5wave events
Super Bowl, Thanksgiving, Easter, back to school, K to 12 bids. Each flips wing or breast mix overnight.[2]
FourKitessince 2018
Predictive cold chain tracking across North American refrigerated lanes. Rich Hernandez sponsors.[9]
6agents
Demand Sensing, Hatch and Feed, Plant OEE, Dispatch and Cold Chain, Retail Execution, Settlement. One loop.
Caddie
Enmovil's agentic AI. Sits above your Oracle ERP, Blue Yonder planning, plant OEE, and FourKites cold chain feed[16]. Closes the loop from feed mill to retailer DC without a migration. Typical go live is three to four weeks. ISO 27001 and AICPA SOC 2 Type II certified.
Three questions an informed observer would ask

Pick the one costing the most OTIF this fiscal. We will scope a two week experiment on it.

01 · The 35 day question
When the demand signal lives in Blue Yonder and the hatch signal lives on an Oracle legacy, how many days of forecast error do you absorb before it becomes a grow out capacity decision you cannot unwind?
Broiler biology sets the latency floor. You commit a hatch plan, then bird biology takes 35 to 42 days to convert it to meat. The S and OE update that arrives on week three does not move a chick that has already been placed. Retailer pull from Walmart, Kroger, Costco lives on one cadence. Foodservice pull through Sysco, US Foods, Performance Food Group lives on a different one[10]. Which layer eats the forecast error when the two cadences do not agree.
Caddie answer: Demand Sensing reads the full distribution across retail and foodservice. Hatch and Feed agent sequences the feed mill plan against the hatch commit. Exceptions fire weeks earlier, not after the bird is placed.[16]
02 · The wave question
Five wave events a year flip wing or breast mix overnight. Which wave cost the most OTIF penalty last fiscal, and which system owned the miss?
Super Bowl LX alone drove 1.48 billion wings through one weekend[2]. Thanksgiving, Easter, back to school, K to 12 bids each compress weeks of retailer draw into days. A Walmart 3 percent COGS fine is not theoretical on a missed MABD[1]. HPAI idled plants through 2024 and 2025 without warning[6]. Does the wave land on the plant OEE, the cold chain dispatch, or the retailer DC receiving window. Each has a different owner and a different playbook.
Caddie answer: Retail Execution agent joins retailer MABD windows, plant OEE signal, and cold chain ETA into one triage. Auto routes the exception before OTIF is the number on the Monday call.[16]
03 · The adoption question
You are four years into a Foods plus AgriBusiness modernization at three different paces. Where is the planner still opening a spreadsheet next to Blue Yonder because the published plan does not match what the plant floor actually ran last shift?
CIO Mark Booth's own description of the Perdue program is a four year replacement of 20 year old systems across Finance, Foods, and AgriBusiness[3]. Summer 2026 postings out of Salisbury ask for Blue Yonder ESP, Demand Planning, S and OP, S and OE, alongside SAP SD, MM, PP, QM awareness[8]. Dataiku plus Snowflake plus Azure runs the analytics bench[11]. The question is not the tool. The question is where the last mile signal breaks between the tool and the planner's spreadsheet.
Caddie answer: one orchestration layer that closes the loop between Oracle, Blue Yonder, plant OEE, and FourKites. Planner minutes move from reconciliation to exception. No rip and replace.[16]
The operating layer · Caddie, Enmovil's AI co-pilot

Six agents. One continuous loop. Over your existing Oracle, Blue Yonder, and FourKites. No rip and replace.

A demand signal enters at Demand Sensing. It exits at Settlement. Autonomously. In minutes. Then the next one enters. The loop runs 24/7.[16]

Demand Sensing
Retail pull, foodservice distributor pull, K to 12 bids, wave events, and long tail SKUs on one distribution.
Hatch & Feed
Sequences 16 hatcheries and 13 feed mills against the demand commit. Rolling capacity plan, not quarterly reconciliation.
Plant OEE
Harvest and further processing line sequencing. Wing and breast mix flips land on line schedule, not on the Monday recap.
Dispatch & Cold Chain
Refrigerated outbound across retailer DC, foodservice distributor, and DSD. Joins FourKites ETA to the receiving window.
Retail Execution
Joins retailer MABD, plant OEE, and cold chain ETA. Triages the OTIF break before the 3 percent COGS fine lands.
Settlement & Audit
Audits every OTIF penalty, carrier invoice, accessorial and fuel surcharge. Continuously, not quarterly.
Caddie, in Enmovil's own words: “Your AI co-pilot for supply chain orchestration. Unifies planning, logistics, and execution into one autonomous intelligence layer.”[16]
Operational impact · what changes in the first two quarters

No dollar sign promises. Six operating numbers you can measure.

Every number below comes from deployed customer outcomes on the Enmovil platform. Not projections. We show you the deployments. You pick the one closest to Perdue Foods' shape.

Daily ETA accuracy
97%
Road, rail, ocean, air on the deployed customer base.
Demand sensing accuracy
97%
Deployed customer benchmark. Long tail and wave event shapes included.
Source: Enmovil deployed customer benchmarks
Exception response
4xfaster
4 to 6 hours compressed to under 30 minutes per incident on live deployments.
Source: Enmovil deployed customer benchmarks
Transportation spend
8 to 15% down
Measured across deployments. Nestle dispatch baseline, continuous audit compounded.
Source: Enmovil deployed customer benchmarks
Integration
3 to 4weeks
Over existing Oracle, Blue Yonder, SAP, TMS, WMS. API, EDI, or CSV. No migration.
Source: Enmovil deployment playbook
Planner minutes reclaimed
30 to 50%
Auto routed exceptions take clerking off planner plate. Validated on your data at the booth.
Baseline: Enmovil deployed customer benchmarks

What we are not promising on this page: a specific OTIF delta, a fine avoided, or a fiscal year number. Those are the things we think are true. We want to scope them with you in the room, not pre print them on a slide.

Where Enmovil has already solved this shape

Three customer stories that map onto Perdue Foods' chain.

We do not have a US poultry processor to name yet. We have Fortune 100 CPG cold chain, a Fortune 500 SAP native manufacturer deployment, and an FMCG raw material plus finished goods planning loop where the operating shape is close enough that the pattern transfers. Named references available under NDA at the booth.

Fortune 100 global CPG
Dispatch planning across a national mass retail distribution network. Live deployment.
The shape of plant to retailer DC to shelf, with cold chain rigor applied to ambient freight.
Shape
CPG manufacturer running dispatch planning, route optimization, and multimodal orchestration on one control tower across a national DC network.
Outcome
10 percent transportation spend reduction measured on deployed lanes. Manual reconciliation eliminated.
Relevance
Closest analog in the deployed base to Perdue Foods' plant to retailer DC to foodservice distributor flow across Walmart, Kroger, Sysco.
“Transfers to Perdue as: one dispatch plan across retailer DCs and foodservice distributors. Auto routes the exception when a wave event or HPAI event changes the week.”
Fortune 500 SAP-native
Manufacturer with SAP as ERP. 90 minute extract to decision to writeback cycle.
The shape of Caddie living on top of the ERP without migrating the ERP.
Shape
SAP-native manufacturer ran a 16 hour overnight forecast job and a 40 minute planner report cycle before Caddie.
Outcome
Overnight job retired. Reports now 5 minutes. 90 minute extract to decision to writeback. Selected over SAP, Kinaxis, EY, and Blue Yonder.
Relevance
Perdue runs Oracle plus Blue Yonder plus Dataiku across Foods and AgriBusiness. Caddie sits on top. No migration.
“Transfers to Perdue as: the daily planner screen becomes one pane of glass. The overnight job goes away. The modernization does not have to finish first.”
FMCG one plan loop
Finished goods and raw material on one integrated planning loop.
The shape of hatch, feed, and finished pack on one cadence.
Shape
FMCG brand running finished goods plus raw material on one integrated plan. Two cadences closed into one.
Outcome
Planners write one plan, not three. Inventory working capital compressed. Forecast error on the tail drops.
Relevance
Closest analog to the chick to cut up problem where RM feed and hatch move on a different cadence from FG tray pack but one plan should bind them.
“Transfers to Perdue as: Hatch and Feed agent sequences the mill plan against the hatch commit against the finished goods commit. One plan. One screen.”
Scale
~100,000 trucks per day under orchestration across the deployed customer base. 97 percent daily ETA accuracy. 97 percent demand sensing forecast accuracy. Selected over Blue Yonder, Manhattan, Kinaxis, o9, Oracle, and EY in tier 1 competitive evaluations.
Who's building this

Enmovil · the technology thought partner for autonomous supply chains.

One AI-native platform. Demand sensing, inventory, dispatch, execution, freight settlement, sustainability reporting. All on one intelligence layer that sits above the systems you already own.

Under orchestration
~100K
Trucks per day across the customer base
Daily ETA accuracy
99%
Road, rail, ocean, air
Forecast accuracy
97%
Demand sensing on deployed customers
Logistics cost savings
8 to 15%
Measured across deployments
Integration
3 to 4wks
On existing SAP, Oracle, TMS, WMS. No migration.
Deployed at
Dispatch Planning
Multimodal Logistics
Multimodal Orchestration
Dispatch Planning
Fleet Management
Logistics Orchestration
Logistics Resilience
Inventory Management
Freight Settlement
Dispatch Planning
Transport Management
Export Planning
Runs under GDPR and SOC 2. Data ingestion via API, EDI, or bulk upload. Enterprise SSO. Deploys over existing SAP ECC 6.0 and above.
The ask

A thirty minute working session. Not a demo.

A thirty minute working session. Not a demo. We leave the room with three scoped experiments and a shared view of where next fiscal's operating margin actually sits, post restructuring. Three questions we want to ask before the session. Your answers tell us what experiments to bring.

Question 1 of 3
Super Bowl, Thanksgiving, Easter, back to school, K to 12. Which wave event cost the most OTIF penalty last fiscal?
Super Bowl week, on wings specifically
Thanksgiving, on whole bird and breast mix
Easter and spring holiday windows
K to 12 school lunch bids
All five compound into one compression
Question 2 of 3
Between Blue Yonder, Oracle, plant OEE, and FourKites, where does the last mile signal most often break today?
Demand signal into the hatch commit
Plant OEE back to the published plan
FourKites ETA into the retailer MABD window
Foodservice distributor cadence vs retailer DC cadence
Planner spreadsheet to the published plan
Question 3 of 3
If you could automate one IT supply chain workflow across Foods in the next two quarters, what would you pick?
Wave event forecast on wings and breast mix
Hatch and feed sequencing against finished goods commit
Retailer MABD triage with FourKites ETA
Continuous OTIF penalty and freight audit
HPAI flag to plant and dispatch rebalance

If you have already solved these, that is the conversation we most want to have. Bring one planner on the retail side, one plant lead on further processing, and one IT owner on the Blue Yonder bench.

Book 30 minutes →
At the American Supply Chain Summit · Dallas · Booth [BOOTH_NUMBER]