Crop forecasting without intelligence
Traditional models are 15% to 30% less accurate than machine learning models. Each projection error propagates through inventory, logistics, and commercial margin.
Villalobos-Arias et al. / MDPI 2024Agribusiness and Agro-Industrial Chains
73% of farms have yet to adopt precision agriculture - but the bottleneck is not field technology. It is the disconnect between RTv, demand planning, and the commercial portfolio. Bunker connects this operation with Bunker Protocol, Salesforce, and AI applied to the crop cycle.
Agribusiness by the numbers
of rural farms in the US without precision agriculture despite 30+ years of available technology
USDA / GAO 2024in agricultural losses from climate disasters without predictive data models
FAO 2024 / Kim et al.higher crop forecast error without ML versus machine learning models
Villalobos-Arias et al. / MDPI 2024The silent risk in agribusiness
When planning, commercial, and field teams operate in separate systems, every crop season starts without context. The result is imprecise forecasts, margin that slips away, and decisions that arrive too late.
The real scenario
Each of these gaps erodes results from one cycle to the next. When the RTv goes to the field without account history, the competition closes first - and the purchase window closes.
Traditional models are 15% to 30% less accurate than machine learning models. Each projection error propagates through inventory, logistics, and commercial margin.
Villalobos-Arias et al. / MDPI 2024More than US$123 billion per year in agricultural losses from climate disasters. Without predictive models, exposure is managed reactively, not proactively.
FAO 2024 / Kim et al.Teams distributed across territories, data in separate spreadsheets, decisions made without context. Each region operates as an independent company, and the chain loses coordination.
81% of producers with integrated data report a positive impact on productivity. Most chains still operate without this integration between commercial, planning, and execution.
Purdue Univ. 2021The RTv goes to the field without the account's history. Each territory operates on WhatsApp with its own version of the portfolio. The off-season crop arrives and no one knows what was sold in the previous cycle. Bunker Protocol connects commercial, planning, and field in a single architecture: with governance by territory, integrated crop data, and coordinated execution between HQ and the field.
We do not sell CRM. We design the operation that transforms technical visits into traceable orders.
Bunker Protocol applied to Agribusiness
Evidence
increase in yield with precision agriculture and AI applied to demand planning by territory
McKinsey: "From bytes to bushels" 2024reduction in input costs with precision agriculture integrated into the commercial cycle
McKinsey / MarketsandMarkets 2024precision agriculture adoption in Brazil vs. ~50% in the US: an integration gap between field and commercial platform
McKinsey: Global Farmer Insights 2024Bunker designed the operational architecture on Sales Cloud with a document generator for Paraguayan legislation, a rebate engine and an AI-assisted seller briefing.
Bunker consolidated Sales Cloud, put a proprietary account-management accelerator into production, delivered the Distributor Portal on Experience Cloud and modeled the New Product Development framework natively in Salesforce.
Request access to additional information about this and other case studies compatible with your context.
Request a compatible case studyTransformation
Without Bunker
With Bunker
The first step is a field diagnostic. No generic slide decks, no promises of "digital transformation". We map where your operation loses conversion between territory, crop, and portfolio.
Frequently asked questions
The protocol is designed around the operation's agricultural calendar. Diagnostic and architecture phases are concentrated in the off-season; activation and governance follow the pace of planting and commercialization. The business cycle dictates the schedule - not the other way around.
We integrate Salesforce with agricultural ERPs, field data (climate, soil, telemetry), and cooperative and distributor platforms. The goal is for RTv, demand planning, and the commercial portfolio to operate on a single data foundation.
Especially for them. The lower the commercial digital maturity, the larger the gap between revenue potential and real execution. The structural diagnostic quantifies this gap and the roadmap prioritizes actions by immediate financial impact.