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Internal AI Use Case โ€” #1

Don Used to Spend Two Hours Every Payroll Cycle
Retyping Numbers. Now He Doesn't.

A manual, error-prone ADP-to-Business Central data entry process โ€” done by hand every two weeks for years โ€” got automated in one afternoon. First with Claude. Then, once proven, with a zero-token script that runs on its own.

0
manual entries eliminated per cycle
0
hours saved every 2 weeks
0
payroll cycles per year
$0
AI tokens spent in production today
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

A 350-line copy job, done by hand, every two weeks

Don pulls departmental hours and payroll data out of ADP as a PDF, then keys every figure into an Excel template by hand before uploading the totals into Business Central, our ERP. Nothing about this process was automated โ€” and nothing about it needed to be this manual.

1
Download from ADP
Departmental hours & payroll PDF pulled every 2 weeks
2
Read the PDF
Line by line, department by department
3
Key into Excel
300โ€“400 individual data points typed by hand
~1โ€“2 hours
4
Excel sums totals
Template rolls entries up for upload
5
Upload to Business Central
Final totals loaded into the ERP
300โ€“400
individual keystrokes/data points, entered manually, every single pay cycle โ€” done by one person, by hand, with every normal risk of fatigue and typos that comes with it.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

We proved it with AI first, then removed the AI

Rather than jumping straight to custom software, we used Claude to prove the concept was even possible โ€” with almost no setup. Once it clearly worked, we converted that proven workflow into a simple automated script, so the day-to-day version doesn't use AI or burn tokens at all.

1

Upload the ADP PDF

Don uploads the biweekly hours & payroll PDF straight into Claude.

2

Upload his Excel template

The same Business Central upload template he already used.

3

Claude reads & keys the data

Every line item from the PDF is matched and entered into the correct cells.

4

Don reviews & uploads

Same final step as before โ€” just no manual typing in the middle.

Uses Claude + tokens Proof of concept โ€” validates the idea works
1

Don drops files in a folder

The downloaded ADP PDF and his Excel template โ€” that's the only manual step left.

2

Double-clicks his desktop icon

One click. No AI interface, no prompts, nothing new to learn.

3

Script parses & matches automatically

A rules-based program reads the PDF and fills the Excel template โ€” deterministic, same result every time.

โœ“

Zero AI tokens used

The proven logic runs on its own โ€” no ongoing AI cost for a task this repetitive.

No AI required to run Same output, built once, reused forever Runs in seconds
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Meet Don

This wasn't rolled out to a power user. It was rolled out to someone with very limited AI experience โ€” which is exactly why it's the right story to share.

D

"I used to dread this every other Friday. Now I put two files in a folder and I'm done."

DON  โ€ข  65โ€“70 years old  โ€ข  Limited prior AI experience  โ€ข  Payroll & ERP data entry
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Small process, real impact

1โ€“2 hrs
given back every 2 weeks
~26โ€“52 hrs
estimated time saved per year
9,000+
manual data entries automated annually
1
skeptical-of-AI employee, now a believer
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

A playbook, not a one-off

The value here isn't just the hours Don got back. It's the pattern โ€” and how easily it repeats across the business.

Start with the person, not the tech

An early, personal win built genuine enthusiasm for AI โ€” from someone who wasn't looking for it.

Prove it with AI first

Claude validated the workflow in a single session before we invested in a custom script.

Graduate off AI when it's repetitive

Once proven, deterministic tasks moved to a lightweight script โ€” full speed, zero ongoing token cost.

Look for this pattern elsewhere

Any recurring "PDF or report โ†’ manual entry โ†’ spreadsheet โ†’ upload" task across QHF is a candidate for the same two-phase approach.

AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

What other manual, repetitive process should we automate next?

If a task looks like "download a file, type numbers into another file, upload it somewhere" โ€” it's very likely worth five minutes of Claude's time to test.

AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods
Internal AI Use Case โ€” #2

A USDA Training Video, Researched, Scripted, and Narrated by AI โ€” Start to Finish in One Day

As QHF moves from FDA-only to also being USDA-regulated, the team needed to understand what changes. Claude built the training content, Claude wrote the presenter script, and 11Labs turned it into a finished video โ€” with Ashley's own cloned voice narrating it.

0
day, start to finished video
0
AI handoffs chained together
0
outside studio or narrator booked
1 voice
cloned once, reusable for every future module
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

QHF is adding USDA to its regulatory picture โ€” the team needs to know what's different

We've operated under FDA rules for years. As we take on USDA-regulated production, the team needs a working understanding of how USDA requirements differ from what we already know. That's a training need, and it needed to exist quickly โ€” not in a few weeks once a video vendor could fit us in.

Research โ†’ script โ†’ voiceover โ†’ edited video
Traditionally, this chain involves a subject-matter expert, a scriptwriter, and either an in-house narrator or an outside video production vendor โ€” often spread across a week or more of back-and-forth. Here, every link in that chain was handled by AI, in one day.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Three tools, three handoffs, no manual writing or recording

Each stage fed directly into the next โ€” Scott's existing USDA Project supplied the raw material, Claude did the research and writing, and 11Labs handled voice and video.

1

Started from the USDA Project

Scott's ongoing Claude Project for the USDA initiative already held internal reference material for the transition.

2

Read the project folder

Claude pulled directly from those uploaded documents rather than starting from a blank page.

3

Filled the gaps with web research

Where the internal material didn't cover it, Claude researched current FDA and USDA regulatory requirements directly.

โœ“

Training-ready content, first pass

A structured breakdown of FDA vs. USDA differences, ready to hand off โ€” no separate research phase needed.

Internal docs + live web research combined Output: training content outline
1

Ashley took the handoff

As HACCP coordinator, Ashley owns rolling this training out to the team.

2

Asked Claude for a presenter's script

Specifically instructed to write in a natural, spoken presenting voice โ€” not a slide-reading tone.

3

Script mapped to the deck

Written slide by slide, in step with the PowerPoint Ashley already had.

โœ“

No scriptwriter needed

A presentation-ready script, in a natural voice, without hiring outside writing help.

Prompted for "natural presenter" tone Output: slide-by-slide narration script
1

Uploaded deck + script to 11Labs

The PowerPoint and the Claude-written script went in together.

2

Used Ashley's own cloned voice

Ashley had previously cloned her voice in 11Labs โ€” no generic AI narrator needed.

3

11Labs rendered the full video

Narration was matched to each slide automatically, producing a finished video with voiceover.

โœ“

Indistinguishable from a real recording

No recording booth, no editor, no reshoots โ€” and the voice sounds like Ashley because it is her voice.

Ashley's cloned voice, reused going forward Output: finished training video
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Meet Ashley

This wasn't a video project handed to a production team โ€” it was one person, working across two AI tools, turning research into a finished training video in a single day.

A

"I didn't write a script from scratch or book any recording time. I gave Claude the research and asked for a natural presenter's voice, then 11Labs turned our deck into a finished video in my own voice โ€” the whole thing came together in a day."

ASHLEY  โ€ข  HACCP Coordinator  โ€ข  Led the USDA training rollout
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

One training video, and a reusable pipeline

1 day
from raw research to finished video
3
AI handoffs: research โ†’ script โ†’ voice/video
0
outside vendors or studio time booked
โˆž
future modules Ashley's cloned voice can narrate
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

A playbook, not a one-off

The value isn't just this one video โ€” it's a repeatable pipeline for turning internal knowledge into finished training content.

Start from what you already have

The USDA Project folder gave Claude a running head start instead of a blank page.

Chain AI across the whole handoff

Research, script, and voice/video each moved to AI โ€” not just one step in the middle.

Clone the voice once, reuse it forever

Ashley's voice clone is now standing infrastructure for every future training module โ€” no re-recording required.

Look for this pattern elsewhere

Any recurring "research โ†’ write โ†’ present" training need across QHF is a candidate for the same approach.

AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods
Internal AI Use Case โ€” #3

A 109-Action, 9-Workstream USDA Project โ€” Run With Claude as the Standing Project Manager's Assistant

The QHF Pepperoni Pizza Bites USDA Grant of Inspection project touches 15 people across 9 workstreams, with a hard end-of-January-2027 target. Instead of one person manually rebuilding the schedule, the meeting agenda, and the hours log every week by hand, Claude runs that machinery โ€” and Scott spends his time on the decisions, not the data entry.

0
tracked actions across the project
0
workstreams kept in sync
0
team members reporting into the system
0
automated scripts running the weekly cycle
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

A project this size normally needs a dedicated PM analyst

Getting QHF from FDA to USDA/FSIS jurisdiction for Pepperoni Pizza Bites means coordinating Facilities, Sanitation, HACCP, Product/Label, FSIS Application, Training, Production Validation, and Finance โ€” all on one schedule, all reporting to one Monday meeting. Without a system, that means one person manually reconciling status updates, rebuilding a dashboard from scratch, retyping decisions after every meeting, and chasing down labor hours in a shared spreadsheet everyone is nervous to touch.

1
Collect WS updates
Status files from workstream owners land in the Teams channel all week
2
Reconcile by hand
Cross-check against Scott's own edits, catch conflicts and regressions
3
Rebuild the agenda
Active tasks, overdue items, risks, milestones, hours worked
4
Run the Monday meeting
Decisions, reassignments, and new items surface live
5
Retype it all back in
Schedule, comment history, hours log โ€” all by hand, every week
9x
every one of those five steps repeats across nine workstreams, every single week, for the life of a project that's expected to run 26+ weeks โ€” with real risk of a stale dashboard, an overwritten edit, or a lost decision if any step slips.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Claude didn't just build documents once. It runs the project week to week.

The work started with the foundational documents, then grew into a standing operating rhythm: a weekly schedule sync, a live Monday meeting workflow with a permanent audit trail, and a labor-hours pipeline that keeps 15 people out of the spreadsheet entirely.

1

Project Charter

Scope, team, RACI, and constraints โ€” corrected in place as facts changed (facility location, newly surfaced contributors).

2

Master Schedule & Gantt

109 actions across 9 workstreams, predecessors verified, subtasks auto-normalized on every edit.

3

Live Dashboard

A single HTML view of active work, risks, and milestones โ€” rebuilt fresh every sync, not hand-maintained.

4

FDAโ†’USDA Conversion Plan

Maps which existing FDA documentation reuses, modifies, or needs to be built new under USDA/FSIS rules.

Built once, kept current as the project evolves
Master Action List, USDA Project Master Schedule & Gantt workbook
The WORKING Master Action List โ€” 109 actions, owners, priorities, and status, color-coded by workstream.
Gantt chart, USDA Project Master Schedule
The Gantt tab, rebuilt from the same workbook every sync โ€” critical path, milestones, and dependencies at a glance.
1

Scott edits WORKING

His manual edits are the one input Claude never overwrites โ€” conflicts get flagged, not silently resolved.

2

Mirror to MASTER

Cell-for-cell sync with formatting preserved, then normalized: subtasks detected and relabeled automatically.

3

Rebuild the Dashboard

Active tasks, overdue items, completions, milestones, and risks all recomputed from the actual data, plus that week's hours worked.

โœ“

Data-quality flags

Typos, blank owners, orphaned tasks, and unexplained status regressions get surfaced โ€” never auto-fixed silently.

One command: /sync-schedule Scott's edits always win over conflicting WS updates
Live QHF USDA Project Dashboard
The live Dashboard โ€” 109 actions across 9 workstreams, rebuilt fresh from the schedule after every sync, with the two biggest risks to the January target called out automatically.
1

Live Monday agenda

Dashboard's Agenda tab shows active tasks, this week's completions, hours worked, and top risks โ€” computed live, not typed up.

2

Team updates in-place

Status changes, comments, and reassignments captured right on the dashboard during the meeting.

3

Applied back automatically

A script applies status changes to WORKING and archives every comment into a permanent Meeting Notes Log โ€” never overwritten.

โœ“

Frozen weekly snapshot

A dated, read-only copy of that week's dashboard is archived to SharePoint โ€” a permanent record no live edit can ever change.

Full history, per task, on demand A new dated archive every week โ€” nothing overwritten
Monday Meeting Agenda, Active Tasks by workstream
The Monday Meeting Agenda's Active Tasks view โ€” status dropdowns and comment history, right where the team is already looking during the meeting.
1

Microsoft Form

15 team members log hours via dropdown โ€” name, pay type, hours, date, workstream, description.

2

Power Automate flow

Every submission writes straight into the LaborLog Excel table โ€” no one opens the spreadsheet directly.

3

Feeds the Dashboard

The Monday agenda's "Hours Worked Last Week" section reads the log live and groups it by person automatically.

โœ“

Zero accidental formula breaks

The table structure and validation lists stay intact because no one is hand-editing the underlying file.

Built for EBITDA add-back labor tracking Roster & workstream dropdowns kept in sync with the org
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

The tactical, one-off requests, handled the same day

The recurring machinery is only half of it. Day to day, Claude is also the first stop for the tactical work that used to eat hours between meetings โ€” the kind of work that never justifies its own custom system, but still has to get done.

1

Capital Approval Requests

Drafted full CARs for equipment purchases (e.g., the Oven 1 infeed covers, the EnSURE Touch ATP monitor) โ€” ROI, capital requirements, and success criteria ready for sign-off.

2

Regulatory & technical research

FSIS requirements, lighting and facility standards, chemical approvals โ€” pulled together and cited on demand instead of hours of independent digging.

3

Email & communication drafting

Vendor outreach, team status updates, and follow-ups drafted in Scott's voice, ready for a quick review pass before sending.

4

Document conversion

Legacy Word/PDF sanitation SOPs and FDA-era documentation reformatted and restructured to match what USDA/FSIS actually requires.

AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Meet the PM running it

This isn't a one-time build. It's an ongoing operating system for a regulatory project with a hard deadline, run by one project manager who still owns every decision โ€” just none of the retyping.

S

"There's no way I could run a 109-action regulatory project like this on top of everything else on my desk as CEO without Claude. I don't have a PM analyst to hand this to โ€” Claude is the reason I can still be the one running it myself."

SCOTT  โ€ข  CEO & Project Executive Sponsor  โ€ข  USDA GOI Project (Pepperoni Pizza Bites)
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

One standing system, not a one-off document

4
consecutive weekly sync cycles run automatically since kickoff
3
persisted scripts running the schedule, meeting, and archive workflow
100%
of weekly meeting decisions archived with full history, never overwritten
0
team members editing the labor hours spreadsheet directly
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

A playbook for any project with too many moving parts

The value isn't any single document Claude built. It's that the system now runs the recurring, error-prone parts of project management on its own โ€” while the PM keeps full control over every decision.

Build the foundation first

Charter, schedule, and dashboard came before any automation โ€” the system only works because the underlying data structure is right.

Automate the reconciliation, not the judgment

Claude flags conflicts and data-quality issues rather than silently resolving them โ€” the PM still decides.

Capture data at the source

A Form instead of a shared spreadsheet means 15 people can contribute without any risk of breaking the file.

Never overwrite the record

Every meeting gets a frozen, dated snapshot and a permanent comment history โ€” nothing is ever silently lost.

AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods
โ˜€๏ธ Daily Pulse
๐Ÿ“‰ Plant Trends
๐Ÿงฎ SKU Ranking
โ˜€๏ธ Daily Pulse
๐Ÿ“‰ Plant Trends
๐Ÿงฎ SKU Ranking
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

โ˜€๏ธ Daily Pulse โ€” Company & Plant

As of Tuesday, 18 August 2026
Auto-built from plant & attainment data in the live system.
This copy is a fixed, illustrative snapshot.

Company Performance โ€” Month to Date (August 2026)

$3.4M
Shipped MTD
of $6.3M forecast
128,400
Cases made MTD
of 226,000 forecast
54%
MTD attainment
shipped $ vs forecast
58%
Month elapsed
working days complete
โš ๏ธ Quarterly quality-hold in effect: a routine hold is delaying shipment of finished product pending test completion. Shipping is running behind the shipping calendar while production continues to build inventory ahead of release.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Plant Performance โ€” Yesterday by Line

Line 1 Running
11,200
Cases produced
48,300
Lbs produced
5.4%
Waste (yest)
7.2%
Total downtime
Operational DT4.1%PD waste (yest)5.0%
Mechanical DT3.1%WTD waste5.8%

Downtime โ€” 52 min lost

Unplanned Maintenance28
Drive fault18
Sensor fault10
Unplanned Operations15
Changeover overrun15
Planned Operations9
Sanitation break9
Now running: SKU-1000 โ€” Filled Pizza Crust Bites, Jalapeรฑo
62% of weekly case target complete.
Line 2 Running
9,650
Cases produced
41,000
Lbs produced
6.8%
Waste (yest)
9.5%
Total downtime
Operational DT5.2%PD waste (yest)6.5%
Mechanical DT4.3%WTD waste7.0%

Downtime โ€” 68 min lost

Unplanned Maintenance40
Belt tracking25
Oven trip15
Unplanned Operations18
Product jam18
Planned Operations10
Shift changeover10
Now running: SKU-1031 โ€” Filled Crescent, Grape
55% of weekly case target complete.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

๐Ÿ“… Key Calendar Call-Outs ยท next 14 days, non-routine

๐ŸŸก
Aug 20 โ€” Scheduled preventive maintenance, Line 2 oven (~4 hr planned downtime window).
๐Ÿ”ต
Aug 22 โ€” Quarterly microbial testing results due; affects current shipping hold status.
๐ŸŸข
Aug 25 โ€” New SKU trial run scheduled, Line 1.
๐Ÿ”ด
Sept 1 โ€” Plant holiday shutdown, no production (1 day).
๐ŸŸก
Sept 5 โ€” Third-party food safety audit.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Customer Activity โ€” Awaiting & Action ยท weekly sales update

๐Ÿ”ด
Customer A. Awaiting sign-off on Q4 volume forecast; needed to lock Line 1 capacity plan.
๐ŸŸก
Customer C. Account transition in progress; final invoice reconciliation pending.
๐Ÿ”ต
Customer G. New item trial samples shipped; awaiting buyer feedback.
๐ŸŸข
Customer I. Pilot program pricing confirmed; scaling discussion scheduled.

Your To-Do's ยท derived from open items + pipeline

Production
Review Line 2 oven PM findings after Tuesday's service window.
Confirm changeover schedule avoids overlapping both lines on the same day.
Financial
Review month-end forecast vs. budget variance ahead of Friday's review.
Approve capital request for lighting upgrade.
Organization
Sign off on updated food-safety training schedule.
Follow up on open reliability action items from last week's review.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

๐ŸŽ“ Seasonal Cycle โ€” This Month

Illustrative example of how the platform tracks a recurring institutional (school-year) demand cycle.
August: back-to-school ramp โ€” monitor fill rates against opening-week commitments.
Confirm September production schedule reflects updated institutional order guides.
What the plant should be doing this month to stay ahead of a known seasonal cycle โ€” a fixed annual calendar the platform updates automatically each month.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

๐Ÿ“‰ Plant Trends โ€” Waste, Downtime & Throughput

Illustrative window: 20 Jul โ€“ 14 Aug 2026
Source: downtime & waste database, appended daily from line dashboards.
Static snapshot โ€” values are representative, not live.

Waste % by Line ยท daily, target โ‰ค 6%

Daily ("yesterday") waste % per line. Startup / changeover days show low-volume spikes โ€” read alongside cases.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Downtime % by Line ยท daily, target โ‰ค 8%

Total downtime as % of run time per line.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Downtime Minutes by Cause

Stacked by category per day โ€” watch for recurring maintenance patterns.

Cases Produced by Line

Daily throughput. Lines alternate, so gaps reflect idle days, not missing data.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

Downtime Minutes by Sub-Cause ยท ranked, whole window

Every sub-cause across the monitored window, ranked biggest-first and colour-coded by category (๐Ÿ”ด Unplanned Maintenance ยท ๐ŸŸ  Unplanned Operations ยท ๐Ÿ”ต Planned Operations). This is where recurring problems show up.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

๐Ÿงฎ Full SKU Ranking โ€” CM per Constrained Hour

Illustrative ยท true contribution margin (Revenue โˆ’ Materials โˆ’ Labor)
All customer names and dollar figures are anonymized / fabricated for this presentation.
CM per constrained hour = (CM per case) ร— line throughput.
TierItemDescriptionCustomerCs/hrCM%CM/hrIllustrative YTD Rev
Tier 1 โ€” โ‰ฅ$6,000/hr
T1SKU-1000Filled Pizza Crust Bites โ€” Jalapeรฑo (New Product)Customer A35274.0%$8,080$8,452
T1SKU-1001Mozzarella Stuffed Bites โ€” GarlicCustomer D45052.0%$8,640$63,762
T1SKU-1002Filled Pizza Crust Bites โ€” Garlic (New Product)Customer A35263.3%$7,870$27,841
T1SKU-1003Mozzarella Pull-Apart โ€” BulkCustomer D35041.5%$5,970$245,601
T1SKU-1004Mozzarella Breadstick โ€” BulkCustomer E34344.6%$6,330$341,698
T1SKU-1005Cheesy Pull-Apart โ€” SweetCustomer A42035.2%$6,460$171,216
T1SKU-1006Mozzarella Bites โ€” JalapeรฑoCustomer B33836.5%$5,690$16,016
T1SKU-1007Mozzarella Bites โ€” PlainCustomer B33837.6%$6,030$18,591
Tier 2 โ€” $5,000โ€“5,999
T2SKU-1008Mozzarella Bites โ€” ClassicCustomer D45037.8%$5,170$40,712
T2SKU-1009Mozzarella Bites โ€” StandardCustomer F35039.5%$5,270$294,941
T2SKU-1010Cinnamon Mini Roll โ€” SemiCustomer A65141.9%$5,390$233,380
T2SKU-1011Strawberry Mini Bagel โ€” SemiCustomer A65141.2%$4,790$247,369
T2SKU-1012Cinnamon Mini Bagel โ€” RetailCustomer A65141.5%$5,080$82,503
T2SKU-1013Garlic Cheesy Pull-ApartCustomer A42030.1%$5,320$2,321,963
T2SKU-1014Mini Cinnamon Roll โ€” Semi (2)Customer A65046.0%$4,760$236,655
T2SKU-1015Strawberry Mini Bagel โ€” RetailCustomer A65139.6%$4,990$241,778
T2SKU-1016Mini Cinnamon Roll โ€” FoodserviceCustomer A65045.2%$4,440$3,433,469
T2SKU-1017Mini Cinnamon Roll โ€” Caramel RetailCustomer A65042.1%$4,750$8,292
Tier 3 โ€” $4,500โ€“4,999
T3SKU-1018Stuffed Cinnamon Churro BiteCustomer G24064.4%$5,030$36,138
T3SKU-1019Grilled Cheese Pull-Apart โ€” BulkCustomer B19737.2%$4,490$25,396
T3SKU-1020Mini Cinnamon Roll โ€” RetailCustomer A65044.9%$4,800$497,963
T3SKU-1021Grilled Cheese Pull-Apart โ€” IWCustomer B19735.5%$5,090$26,217
T3SKU-1022Cinnamon Mini Bagel โ€” FoodserviceCustomer A65139.0%$4,540$820,445
T3SKU-1023Mini Cinnamon Roll โ€” Caramel FoodserviceCustomer A65039.5%$4,790$497,525
T3SKU-1024Filled Pastry Stick โ€” Pumpkin BulkCustomer I33854.7%$5,080$6,600
T3SKU-1025Filled Pastry Stick โ€” Pumpkin IWCustomer I33852.4%$4,560$13,523
T3SKU-1026Stuffed Pizza BitesCustomer B23832.1%$4,570$555,564
T3SKU-1027Mozzarella Pull-Apart โ€” Bulk (2)Customer C23359.9%$4,040$103,378
Watch โ€” <$4,500
WXSKU-1028Strawberry Mini Bagel โ€” FoodserviceCustomer A65135.8%$4,290$2,917,147
WXSKU-1029Stuffed Chocolate Churro BiteCustomer G24056.8%$4,480$30,586
WXSKU-1030Mozzarella Pull-Apart โ€” IWCustomer C23357.2%$3,990$351,700
WXSKU-1031Filled Crescent โ€” GrapeCustomer A50042.5%$4,130$60,818
WXSKU-1032Filled Crescent โ€” ChocolateCustomer A50044.9%$4,400$263,361
WXSKU-1033Sweet Cream Filled Roll โ€” IWCustomer B26239.3%$3,740$100,922
WXSKU-1034Filled Pastry Stick โ€” Strawberry & CreamCustomer I33841.9%$3,830$30,683
WXSKU-1035Filled Pastry โ€” AppleCustomer A65137.0%$3,410$1,234,857
WXSKU-1036Filled Pastry โ€” CherryCustomer A65130.5%$2,970$686,087
WXSKU-1037Cereal-Coated Filled PastryCustomer A45835.2%$3,640$1,246,334
WXSKU-1038Stuffed Pizza Roll โ€” BulkCustomer B25023.9%$3,190$238,697
WXSKU-1039Stuffed Pizza Roll โ€” IWCustomer B25021.8%$3,240$404,606
WXSKU-1040Garlic Breadstick โ€” 7 inchCustomer H16253.7%$3,370$37,665
41 illustrative SKUs, ranked by CM per constrained line-hour. Tiers: T1 โ‰ฅ$6,000 ยท T2 $5,000โ€“5,999 ยท T3 $4,500โ€“4,999 ยท Watch <$4,500. Customer letters and dollar values are fabricated for this presentation and do not reflect actual QHF figures.
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods
Quality Harvest Foods ยท Manufacturing Intelligence Platform ยท illustrative static overview prepared for external presentation
AI-generated, on behalf of Scott Spencer, CEO Quality Harvest Foods

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