An Element-5 company
Talk to usAgribusiness data & technology solutions
Data analytics and AI
for agriculture.
FP&A, packhouse and exporter analytics built for the agricultural value chain, with AI in every report. Plan the season, run the packhouse and know what every market returns.
Three solutions, AI built in
Start where the numbers matter most.
Each solution is pre-built on Microsoft Fabric and Power BI and adapted to the season, the packhouse and the export week, so you start from a working base rather than a blank page.
01 | Powered by Seizmic
FP&A for Agriculture
Financial reporting, budgeting, forecasting and labour planning on one model, with writeback so plans and master data are captured where the reports live.
- Income statement, balance sheet and cash flow by farm, commodity and cost centre
- Budget, rolling forecasts and flexed forecasts
- Seasonal labour planning: headcount, hours and overtime
- Writeback for planning inputs and master data
AI
Variance commentary, commentary quality checks and mapping suggestions.
02
Packhouse Analytics
Intake, pack-out, grade, throughput and cost per carton, shift by shift, planned against inbound supply.
- Bin intake against estimates by grower and block
- Pack-out, class and defects by variety
- Line throughput, labour productivity and cost per carton
- Claims and quality hotspots
AI
Intake forecasts and same-shift alerts on pack-out, defects and throughput.
03
Exporter Analytics
Market, programme and producer returns from shipment to settlement, with grower reports delivered on time.
- Return to grower by market, variety and week
- Shipments by market, port, vessel and consignee
- Producer season reports and settlements
- Debtors, ageing and currency exposure
AI
Ranked insights per producer and plain-language questions on every shipment.
FP&A for Agriculture, powered by Seizmic
Plan, report and explain the season on one model.
Seizmic, an Element-5 company, is an AI-powered FP&A product on Microsoft Fabric, already producing month-end packs, budgets, rolling forecasts and labour plans. The agriculture edition adds season-based planning, producer and block profitability and packhouse cost statements, with writeback for plans and master data.
Financial reporting: season income statement vs budget
Sample fruit exporter | Feb to Jul 2026 | Millions
Revenue
486.2m
+4.1% vs budget
Gross margin
14.8%
+0.6 pts vs budget
EBITDA
50.6m
+14.2% vs budget
Operating costs
21.4m
2.7% under budget
Revenue by month, actual vs budget (millions)
Actual
Budget
Feb
Mar
Apr
May
Jun
Jul
Income statement (millions)
Line
Actual
Budget
Variance
Export revenue
412.6
394.0
+18.6
Local revenue
73.6
73.0
+0.6
Total revenue
486.2
467.0
+19.2
Cost of sales
(414.2)
(400.7)
(13.5)
Gross profit
72.0
66.3
+5.7
Operating costs
(21.4)
(22.0)
+0.6
EBITDA
50.6
44.3
+6.3
Drill from season to commodity, channel, cost centre and GL account. Budget, forecast versions and commentary sit in the same model.
Illustrative samples. Figures, producers and markets shown are sample data and do not represent any client.
Packhouse Analytics
Every bin, line and carton, shift by shift.
Intake, pack-out, grade, throughput and cost per carton in one view, planned against inbound supply and fed straight from the packhouse system into Microsoft Fabric.
Packhouse analytics: intake, pack-out and grade
Sample pome fruit packhouse | Weeks 18 to 23, 2026
Bins received
18,420
+6.8% on last season
Pack-out
82.4%
+1.4 pts vs 81.0% target
Class 1 share
71.6%
+2.1 pts on last season
Cartons packed
412,860
22.4 cartons per bin
Bins received per week
W18
W19
W20
W21
W22
W23
2,850
3,140
3,320
3,410
3,060
2,640
Grade split of fruit received
Class 1, 71.6%
Class 2, 10.8%
Juice and processing, 17.6%
Pack-out by variety
Golden Delicious
85.1%
Granny Smith
83.6%
Packham's Triumph
80.2%
Forelle
76.9%
Watch: Forelle is below the 78% pack-out threshold in weeks 22 and 23. Bruising and size claims are flagged for review with the grower.
Fed from the packhouse system into Microsoft Fabric. Drill from week to shift, line, grower, block and defect.
AI
Intake forecast
Bins for the next three weeks by grower and variety, from crop estimates, deliveries to date and history, so lines and labour are planned ahead.
AI
Same-shift alerts
Pack-out, defect or throughput moves outside the normal range are flagged during the shift, not at month end.
Costing
Cost per carton
Labour, packing material and overheads allocated to every carton by line, grower and variety, and fed into FP&A.
Exporter Analytics
Know what every market returns, from shipment to settlement.
Return to grower, market and programme performance, shipments and debtors on one model, with producer season reports delivered on time.
Producer season report: where the fruit went and what it returned
Sample grower | Season 2026 | Pome fruit
Cartons shipped
248,600
+5.2% on 2025
Export share
86%
of season cartons
Return to grower
143.24
per carton, +7.9% on 2025
QC pass rate
97.2%
Export average 96.4%
Market mix, share of season cartons
United Kingdom
24%
Europe
21%
Middle East
17%
Far East
14%
Africa
10%
Local market
14%
Export
Local
Return to grower by variety
Variety
Cartons
RTG per ctn
vs average
Forelle
52,900
163.40
+14.1%
Packham's Triumph
74,200
151.80
+6.0%
Granny Smith
60,200
129.90
-9.3%
Golden Delicious
61,300
128.60
-10.2%
Season
248,600
143.24
Insight: Forelle returned 20.16 per carton above the season average on 21% of cartons. Golden Delicious carries the widest gap and is the first place to look for next season's market plan.
Delivered per grower as an executive Word pack and an interactive presentation with destination maps, weekly returns, quality heatmaps and national export context.
AI in every solution
Ask, explain and forecast in plain language.
Claude works on your governed model in Microsoft Fabric through secure connectors, so every answer, forecast and comment comes from your own numbers and can be traced to its source.
Conversational analytics
Ask any question of your finance, packhouse or export data and get the answer with a chart.
Variance commentary
Month-end commentary drafted from the numbers, with contributor comments rated for quality.
Forecasting
Intake, volume and cost forecasts that learn from each season and flex the financial forecast.
Insights and alerts
Ranked insights per producer, market and cost centre, and alerts when something moves.
Conversational analytics: ask your data in plain language
Claude on Microsoft Fabric | Sample sales model
Which markets gave us the best return per carton for Forelle this season?
Forelle returned 163.40 per carton across all markets and channels in 2026, 14.1% above your season average. The Middle East led; Europe trailed on a large share of volume.
Forelle return to grower per carton, export markets
Middle East
178.20
Far East
171.50
United Kingdom
160.10
Europe
149.60
Europe took 18% of Forelle cartons at 13.80 below the Forelle average. Shall I compare with 2025 or break it down by week?
Source: governed sales model in Microsoft Fabric, season 2026, Forelle. DAX query available for every figure.
Compare with last season.
Forelle is up 9.6% on 2025 (149.10 per carton). Most of the gain came from the Middle East, where the return per carton rose 12.4% on similar volume.
Break it down by week
Show quality claims
Draft the grower note
Answers come from your own governed semantic model through a secure connector, never from a guess. Every number can be traced to its query.
From the Producer outward
Primary and Secondary Agriculture, connected.
Agriculture is one value chain with the Producer at its centre. Today the information that runs it sits in silos: on the farm, in the packhouse, at the exporter, at the bank. AG One joins it up so every link works from the same trusted data.
Producers
Farms, grower groups, estates and co-operatives. Operations data, harvest and yield planning, and a fair way to trade.
Inputs & Services
Seed, fertilizer, crop protection, fuel, equipment and agronomy. A direct channel to Producers and clear demand visibility.
Processing & Packing
Packhouses, mills, processors and cold stores. Intake, pack-out, grade, claims and throughput, planned against inbound supply.
Logistics & Storage
Transport, warehousing, ports and cold chain. Load visibility tied to the trade taking place across the chain.
Markets & Trade
Exporters, marketers, agents and importers. Export planning, market and port statistics, and producer reporting.
Finance & Advisory
Agri-finance, banks, insurers and advisors. Trusted production and trade data to lend, insure and advise against.
Agri Data & AI services
One data foundation from farm to market.
Consulting and managed services built for agriculture, drawing on the Element-5 and TrueNorth Group teams, the Unified Data Model and proven Fabric architecture. Farm, packhouse, export, trade and finance data connect rather than fragment.
- Farm operations. Consolidated data across blocks, orchards, herds, fields and seasons.
- Harvest planning and yields. Estimates, actuals, variance and season-on-season comparison.
- Packhouse metrics. Intake, pack-out, grade, class, claims and throughput.
- Export planning and statistics. Volumes by market, port, vessel and week, and producer returns.
- Data platform and governance. Microsoft Fabric, Power BI semantic models and secure connectors your teams can trust.
Why AG One
Grounded in agriculture. Built on proven platforms.
Producer first
Every solution starts with what the Producer needs. The rest of the value chain is served in relation to the farm.
Your data stays yours
The Producer owns their data. We protect it and share it only where the Producer agrees.
Built on the group
Backed by Element-5 and delivered with TrueNorth Group, with partnerships across Microsoft and Anthropic.
Plain language, traceable numbers
No jargon and no hype. Every figure in a report can be traced back to its source.
Better decisions at every link.
Tell us where your data sits today and what you need to see this season. We will show you where to start.