Feedstock and pellet-spec reconciliation
Lot-to-pack schedule. Keep the source details and outstanding dependencies together.
PELLET GRADE PACK FORMAT AND DELIVERY ACCESS
AI agent for wood-pellet manufacturers
Keep pellet production lots, bagging plans and trade deliveries connected.
A specialised AI agent you can ask for more. Chat here on the site.
$149.00/month, including $60.00 in monthly credits. Monthly subscription. Before tax.
One place for feedstock and pellet-spec reconciliation, mill packing and bulk-delivery coordination, weight quality-record and delivery closure.
MADE FOR YOUR WORKDAYStart with work already on your desk
Share the relevant records in your regular Teams chat and give your specialist an outcome. No model or tool choices to make first.
Get my AI agent →“Match the next packing run to released production lots and confirmed orders.”
A useful first result
A saved lot-to-pack schedule, with the gaps and next steps clearly marked.
Example assignment, not a promised delivery time. Your agent works from the records and access you provide. Add connections when you want it to act in other systems.
A conversation at your desk
This example shows an established working setup: the agent already knows the business and has the records and connections listed below. Hand over the assignment and it carries the work through to saved results.
Illustrative project · configured agent at work
A configured agent with feedstock receipts, mill runs, issued product records, bagging counts, tanker bookings and delivery weights.
A working specialist can handle the project, with a configured team sharing the work where available. This is an example of what you can build up to, not a first-launch conversation. Timing and usage depend on the assignment.
Deliver the winter-start programme across twenty bulk and trade customers and close all load records. Carry the work through the connected tools and keep the working records and reports current.
Two bulk orders exceed the recorded silo capacity and a dispatch sheet references the previous production run. I’m resolving those dependencies and continuing the rest of the programme.
Work in progressKeep the bagged retail allocation separate from the bulk heating customers.
Mill output, product references and delivery allocations reconcile. Actual load weights, customer receipts and reported differences are closed for both bulk and bagged orders. Your dashboard and working files reflect the recorded outcomes.
Later · delivery and saved resultsA small tool for a real job
Grade references missing from dispatches, bagged-versus-bulk allocation conflicts, inaccessible silos and unsettled weight differences.
Try the numbers, then bring the confirmed brief to your specialist. Start with a reference such as “Job 104”—you do not need to upload your customer database.
Try your own numbers
Planning arithmetic from your inputs. Your specialist can turn the confirmed details into a working brief. This is not a quote or capacity commitment.
PELLET GRADE PACK FORMAT AND DELIVERY ACCESS
Bring the feedstock lot mill run and order and pellet grade pack format and delivery access you already have. Your agent turns them into working records, keeps track of changes and follows the job through.
Your AI agentPrepared for wood-pellet manufacturers
An example record for feedstock lot mill run and order, pellet grade pack format and delivery access, pellet-order position, pellet tonnes delivered.
The useful next step
Prepare lot-to-pack schedule from the available records. Save the supporting references and mark any missing details so the next step stays clear.
From enquiry to a useful next step
Add a job reference and the details you already know.
Feedstock lot mill run and order and Pellet grade pack format and delivery access, ready to check.
Give your specialist the outcome and let it carry the work forward.
Keep working records in Files and Tasks.
Keep the job and its next steps together.
Ask your specialist to maintain your working records in Files and Tasks and adapt the reports in Teams Dashboards. These are the regular platform tools, prepared for your business. Connections to other systems are optional.
The details your specialist follows
Follow each feedstock lot mill run and order through the working record. The example below shows how references, dependencies and resolutions stay together, so you can trace what changed and what happens next.
Keep an eye on: grade references missing from dispatches, bagged-versus-bulk allocation conflicts, inaccessible silos and unsettled weight differences.
Illustrative working document · your records start empty
| Load | Order issue | Dispatch action |
|---|---|---|
| WP04 | Capacity exceeded | Delivery split |
| WP11 | Old run reference | Record corrected |
| WP18 | Bagged reserve | Allocation retained |
Illustrative project figures. Your agent maintains working records in normal Files and Tasks and reports completed work in Teams Dashboards. Ask it to adapt those records and reports as your workflow changes.
Built around the details that matter
Manufactures densified fuel pellets from fibre and runs bulk deliveries; sawmills cut and sell timber products.
Lot-to-pack schedule. Keep the source details and outstanding dependencies together.
Bagging requirements. Track changes against the same job reference.
Trade delivery register. Save the outcome and carry the next steps into your working records.
Prepared for your business
Six useful measures, ready in your regular Teams dashboard. Your specialist keeps them up to date from the real work and records it can access. Ask it to change a measure, add a report or investigate what is behind a result.
Recorded total · tonnes
Actual completed tonnes in feedstock run pellet grade and bulk-load ledger, recorded once per source job and completion line. Use observed quantities from the source records for wood pellet tonnes delivered; planned quantities, duplicate updates and illustrative figures are excluded.
Recorded cases · cases
Completed grade or allocation conflicts resolved cases with the required delivery evidence and follow-up reconciled. Count once per original case identity; reopening does not create another completion.
Recorded cases · cases
Distinct delivered-weight discrepancies settled cases, with source evidence from the feedstock run pellet grade and bulk-load ledger. Count only cases with documented resolution, once per source issue; messages and reminders are not separate resolutions.
Average · hours
Elapsed hours for released pellet stock allocated to completed delivery, using actual start and completion timestamps for the same case. Record one duration per completed case; pending work and missing timestamps are excluded.
Observed rate · %
Delivered loads retaining matching run and product-grade references divided by all assessed cases with a known outcome under the same recorded criterion. Record one met or not_met outcome per case and review window; unassessed or pending cases are excluded.
Observed rate · %
Confirmed pellet delivery windows met divided by completed cases with both a recorded agreed deadline and actual completion time. Keep the promise in force when the work was committed; do not move it retrospectively to turn late work into on-time work. Exclude unknown deadlines and pending cases.
Your reports start empty. Figures reflect observed work in the selected period; missing records are not treated as measured zeroes. Current jobs, schedules and stock stay in your working files and tasks. You and your agent can adapt the dashboard as your business changes.
Keep the tools that already work
Your AI agent starts with the details of your business already in mind. The three workflows are starting points. Ask it for help with another task in the same conversation.
The starting instructions, intake questions and working rules already match wood-pellet manufacturers. Add your service list and one example of your tone when you are ready.
Give your agent an outcome, the access it needs and your budget. It handles routine decisions and follows through in your connected tools, asking when a missing business decision needs you. Set or change your own boundaries whenever you want.
Ask it to compare suppliers, prepare customer updates or analyse recurring issues in your feedstock run pellet grade and bulk-load ledger. It can take on a wider assignment in the same conversation. Give your agent another task in plain language. What it can carry out depends on the tools you connect and the access you choose.
Recommended starting plan
Begin with one specialist and a report preset for your business. After setup, your regular Agent Teams conversation opens. No tool selection before your first conversation.
$149.00/month
Capacity for 3 running agents · 250 active hours per month
Start my AI agent →$149.00 before tax today and monthly, including $60.00 in Platform Credits after the first payment and each paid renewal.
Unused credits roll over. AI usage draws from your balance; additional credits are available when needed. $0.15 applies per active hour beyond the included allowance. Optional voice and other services cost extra.
Hosting availability is checked before payment. Create your account, confirm your monthly subscription, then start chatting when your specialist is ready. Your instructions and dashboard are prepared automatically after payment.
Automatic top-ups start off. Buy credits manually or set automatic top-ups and spending limits in your account. Keep the full Teams controls for models, connections and supported settings.
Before you begin
Retain feedstock lot, mill run, recorded pellet grade and pack format through dispatch. Coordinate bagged stock and bulk tanker loads with customer access and capacity. Use the producer’s actual test and certification records; reconcile weigh tickets and delivery receipts rather than assuming planned tonnage was received.
No. This is an AI agent specialised for wood-pellet manufacturers, with three prepared workflows to get you started. You can ask for writing, research, planning, analysis or another task in the same chat. It can make routine decisions and carry the work through using available tools. You set its boundaries; it asks when a real business decision or missing access needs you.
After payment, we prepare your AI agent for wood-pellet manufacturers, its workflows and your feedstock run pellet grade and bulk-load ledger dashboard. Your regular Agent Teams chat opens when setup is ready. Files, Tasks, settings and billing work the same as for other customers. Reports start empty and count actual reported work; the examples above are illustrative.
No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.
Use it alongside your current tools for preparing work and organising jobs. Live stock, availability, sending and payment records require a verified connection or your own confirmation.
Compare the working records and business types each specialist is prepared for.
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