Applications · Harvest AI
Food producers, co-packers, and distributors live with short shelf life, lot tracking, customer-specific shipping rules, and high-volume order changes. AI helps when it takes first-pass work off the desk, surfaces answers in plain language, and keeps your team focused on exceptions.
Harvest implements Business Central and Harvest food applications, so Copilot and agents sit on food-ready data, not a generic setup. Your team does more of what keeps the organization efficient, compliant, and profitable.
Why this matters
AI takes first-pass order entry, invoice matching, and routine lookups off the desk, freeing your people to solve real operational problems instead of pushing paperwork.
Inbound orders, invoice matching, bank lines, and routine lookups so your team spends less time on retype work.
Inventory, vendors, customers, and margins without waiting on a custom report first.
Agents propose. Your team approves, corrects, and posts. Quality holds and floor rules stay with people.
How food manufacturers use AI
Orders
Sales Order Agent drafts from email and files. Your CS team validates food-specific dates, packs, and customer rules.
Payables
Payables Agent prioritizes matches. AP owns price, quantity, and quality holds.
Answers
Analysis assist and chat cut report delays for production and finance.
Cash
Copilot-assisted bank matching for high-volume food cash movement, including DSD settlements and freight.
Fulfillment
History- and inventory-aware suggestions, with human rules for food safety and customer specs.
Control
Task management so AI proposes and people approve. Nothing posts and hopes.
Capabilities in detail
What it does: Reads customer emails and attachments (including PDFs and images), helps create quotes and sales orders, and supports multi-address shipping scenarios as Microsoft ships them.
Operational impact: Customer service spends less time retyping PO lines from retailer or distributor emails. The agent drafts the order; your team checks dates, packs, lot and shelf-life constraints, and customer rules before release.
What it does: Matches vendor invoices to purchase orders using context and historical patterns, with confidence-based prioritization.
Operational impact: Ingredient and packaging invoices land every day. The agent handles the first pass so AP focuses on price, quantity, and quality exceptions, not every line.
What it does: Plain-language questions against Harvest Food Solutions data, including custom fields and tables where supported.
Operational impact: Ops, finance, and leadership get answers without waiting on a custom report. Examples: vendors by location and purchase amount; SKUs short for next week’s production; a customer’s recent order changes.
What it does: Suggests matches between bank statement lines and ledger entries.
Operational impact: Faster month-end for high-transaction food businesses, including DSD settlements, ingredient pays, and freight.
What it does: Learns entry patterns and suggests field values; summarizes customers, orders, and agent activity; can draft product marketing text for catalogs.
Operational impact: Less keying on item and order cards; faster handoffs when someone opens a customer or production-related document.
What it does: Helps map electronic documents to the right purchase orders.
Operational impact: Supports high-volume document flow from suppliers and co-packers.
What it does: Suggests lines from history, seasonality, and inventory; recommends substitutes when an item is short.
Operational impact: Customer service builds orders faster and protects service levels when a SKU or lot is constrained, still subject to your substitution and quality rules.
What it does: Visibility into what agents are doing, with room to instruct, approve, or modify actions.
Operational impact: AI stays inside your process rules. Nothing posts and hopes.
What it does: Business Central planning and forecasting tools, with Copilot-assisted analysis of history and trends where enabled. Harvest ERP deepens food-specific demand and production planning.
Operational impact: Better signal for batch production, short-shelf inventory, and promotional spikes, always reviewed by planners who know the floor.
Built on Microsoft. Configured for food.
How does Harvest use AI?
Harvest Food Solutions builds accounting and operations software for food and beverage manufacturers, co-packers, and direct store delivery on Microsoft Dynamics 365 Business Central. Customers get access to Copilot and Microsoft AI capabilities where licensed. Harvest makes sure the data model, lots, batches, warehouse, and DSD processes are ready so AI has accurate data to work with.
Next step
Whether you run a single facility or multi-site distribution, Harvest scales by user seat and module. Review our pricing tiers and build a setup that fits your operational budget.
