Agriculture
8 released templates. Each passed a check on test data; it is switched on in the panel by the director, and a person decides on every proposal. Example results are illustrative: the names and companies in them are made up.
Season plan
The problem it removes: Field work deadlines live in the agronomist’s head.
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What it does: Field-by-field calendar for planting, spraying, and harvest.
What a person decides: The plan.
For whom: Agronomist.
How to measure: Work done on schedule.
Example result: “Situation: this week’s plan is weed control on field 3 (May 12–15) and top-dressing on field 5 (by May 16); field 3 is waiting on the sprayer, which is in the shop until May 13. Key point: spraying on field 3 slips by at least a day. Options: 1) start on field 5 while the sprayer is being fixed — no downtime; 2) rent a sprayer for 2 days — on schedule, but extra cost. Recommendation: 1, and if the repair drags on, 2. Today: reshuffle tasks and confirm the repair date.”
Subsidies
The problem it removes: Subsidies slip away because of deadlines and paperwork.
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What it does: Tracks subsidy application windows and builds a document checklist.
What a person decides: Submitting the application.
For whom: Owner.
How to measure: Subsidies received.
Example result: “Situation: applications for the equipment-purchase subsidy are open until March 1; we have 6 of the 8 documents on the program checklist — missing a certificate of no tax debt and the contract with the equipment supplier. Key point: the supplier contract takes longest, and we need to choose the equipment first. Options: 1) pick a tractor from the two offers this week — plenty of margin; 2) apply for one item now and the rest next round — a smaller subsidy. Recommendation: 1. Today: request the certificate and set a date to decide on the tractor.”
Equipment and spare parts
The problem it removes: A tractor breaks down at the peak of the season.
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What it does: Tracks equipment maintenance and orders parts in advance.
What a person decides: Purchasing.
For whom: Mechanic.
How to measure: Equipment downtime in season.
Example result: “Action: service combine No. 2 before the season and order 2 drive belts and filters. Per the log, the last service was 420 engine hours ago against a 250-hour interval, and the belts snapped twice last season; belt delivery takes up to 3 weeks. Impact: the combine won’t go down mid-harvest. Risk: if the supplier is late, service slips — order today. Fallback: if the belts don’t arrive in time, buy from the dealer in Kostanay — pricier, but 3 days.”
Orders for farm produce
The problem it removes: Shops and cafés ask “how much is wholesale potato?” while the owner is in the field and replies in the evening — after the buyer has gone to the neighbor.
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What it does: Answers a farm’s buyer — a shop, café, or processor — about what’s in stock, the wholesale price, the minimum order, delivery, and how to place an order — per the farm’s answers.
What a person decides: Prices below the list and large volumes.
For whom: Wholesale buyer.
How to measure: Buyer inquiries that become sales.
Machinery for the week: what goes where
The problem it removes: On Monday, two foremen wait for the same combine while a tractor due for service sits idle.
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What it does: From the work plan and the machinery list, suggests which machine and operator to put on which field this week, where two jobs compete for the same machine, and when to fit in servicing.
What a person decides: Assigning machinery and people.
For whom: Farm manager, chief agronomist.
How to measure: Machinery downtime during the season.
Example result: “Action: the John Deere S760 combine — on field No. 7 (wheat) on Monday and Tuesday, and start field No. 3 on Wednesday: both jobs need the same machine. Effect: the wheat is harvested before the rain the agronomist forecasts. Risk: field No. 3 waits two days. Rollback: if the combine breaks down, call in a hired one under the contract with Agroservice LLP.”
Farm feed: what runs out first
The problem it removes: The farm learns compound feed is running out when the bags are already empty and the delivery is a week away.
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What it does: From the feeding log and warehouse stock, shows the farm manager which feed runs out first, what to order and when, and where log consumption differs from the farm’s norm.
What a person decides: Buying feed and the ration — the livestock specialist.
For whom: Farm manager.
How to measure: Days without the right feed.
Example result: “Situation: per the log as of October 20, hay will last 34 days, silage 19, and compound feed 6. Key point: compound feed runs out before the next delivery on October 30. Options: 1) order 5 tons from Zhem LLP today — delivered in 3 days; 2) cut compound feed for the dairy herd — milk yields will drop. Recommendation: 1. Today: order compound feed.”
Subsidies: document check before filing
The problem it removes: A subsidy application is returned over one delivery note without an e-invoice — and the filing deadline has passed.
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What it does: From the subsidy program guide and the list of collected documents, shows what’s missing for the application — e-invoices, contracts, certificates, statements — and what to do before the filing deadline, with no promises of approval.
What a person decides: Filing the application and responsibility for the documents.
For whom: Farm head, accountant.
How to measure: Applications accepted the first time.
Example result: “Situation: the fertilizer subsidy requires 7 documents per the guide; 5 are collected. Key point: the August delivery note from AgroKhim LLP has no e-invoice, and the supply contract isn’t signed by the seller. Options: 1) request the e-invoice and the signed contract from AgroKhim today; 2) file without this delivery — the subsidy will be smaller. Recommendation: 1. Today: email AgroKhim.”
Bulk harvest: offer to a buyer
The problem it removes: A trader asks for a grain offer “today,” while the class and lab data sit with the storekeeper and the agronomist.
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What it does: From warehouse data and the farm’s terms, prepares a commercial offer for a wholesale buyer: crop and class, volume, price and delivery basis, payment, lab results, and documents.
What a person decides: Price, volume, and signing the contract.
For whom: Wholesale buyer, trader.
How to measure: Harvest sold at or above the planned price.
Basis: product documentation; the platform code. This page describes what exists in this build, not what is planned.