Industry — Food & Protein

Supply chain decision intelligence for food & protein manufacturers

You sell product with a clock on it, made from inputs you committed to months ago, for retail customers who fine you when a truck misses its window. The hard part is not the data. It is the number of operating decisions your team has to make every week, and how many of them still run on a spreadsheet that was stale before it finished exporting.

Perishability

Shelf life compresses every decision you make

Code dates do not negotiate. Retail customers set minimum remaining-shelf-life requirements at receipt, which means the sellable window on a lot is shorter than the label says, and it shrinks while product sits. A promising decision made Monday on Friday's inventory picture can be wrong by Wednesday, and the cost shows up as markdowns, donations, and write-offs.

The operating decision: which orders get which lots today, and what you can still promise for the rest of the week. This is an available-to-promise and allocation decision made under a deadline. See the worked example: the ATP short-ship decision.

Biology vs. volatility

You cannot expedite an animal or a harvest

Live supply is committed weeks or months ahead. Herd, flock, and growing cycles move on biological time; demand moves on retail time. A promotion, a weather event, or a channel shift can move volume in days, and the standard manufacturing answer, expedite more supply, is simply not available to you.

The operating decision: the demand plan you commit against a supply position you cannot change. When you cannot flex supply, the levers are mix, pricing, and allocation across channels, and the winner is whoever senses the shift first. In SCOR DS terms, this is where Plan and Order meet.

Yield & OTIF

Yield moves every day; the OTIF window does not

Upstream, yield varies by lot, season, and supplier, so the same live weight does not produce the same case count twice. Downstream, your largest retail customers enforce on-time-in-full and cold-chain compliance with chargebacks. Your plant schedule sits between a variable input and a fixed penalty, and it gets re-cut by hand every time yield disappoints.

The operating decision: whether today's schedule is actually clear to build against the yields you are really getting, and when it is not, which orders to protect first. See the clear-to-build decision.

Three agents, one story

Decision agents on the metrics that pay the bills

The A2go Decision Intelligence Platform (ADIP) puts named decision agents on the operating decisions above. Each agent reads your live ERP and planning data, works the decision the way your best planner would, and brings you options with the tradeoffs stated. You decide; the agent executes and documents. See how agents act.

Moves: forecast accuracy & bias

Demand-sensing agent

Watches orders, shipments, and promotion signals against the forecast and flags shifts while there is still time to re-plan mix and channel allocation inside biological lead times, not after the volume has already landed.

Moves: OTIF & short-ship cost

ATP & allocation agent

When supply comes up short, works the allocation across open orders against code dates, customer penalty exposure, and margin, instead of first-come-first-served. The ATP short-ship example shows the full decision.

Moves: schedule attainment

Schedule-attainment agent

Re-checks clear-to-build against actual yields and material availability every shift, and when a run breaks, proposes the recovery sequence that protects the most exposed commitments.

[SLOT — CONFIRM AGENT ROLES AND NAMES AGAINST THE AGENT SELECTION GUIDE BEFORE PUBLISH. The three roles shown (demand-sensing, ATP & allocation, schedule-attainment) are placeholders chosen to match the pains above; the copy owner confirms the canonical role names and the metric each is credited with.]

Fit

Built for the $400M–$2B operator

A2go works with multi-site food and protein manufacturers in the $400M–$2B range. Your existing ERP stays exactly where it is, as the system of record. ADIP sits above it as the judgment layer, working the decisions your ERP records but does not make. In an adjacent industry, ADIP took a master scheduling cycle from 18 hours to 15 minutes at a roughly $500M industrial manufacturer; more on the results page. If you run supply chain for an operation like this, the COO and supply-chain leader page goes deeper on the operating model.

[SLOT — FOOD/PROTEIN PROOF POINT: a customer result specific to this vertical (metric + before/after), delivered by the copy owner with sign-off attached. No protein customer may be named or implied without that sign-off.]

Start with the decision that hurts most

Ten minutes. Name the operating decision that costs you the most today, whether that is allocation against code dates, the demand plan, or the daily schedule, and we will show you how an agent would work it.

Map your highest-pain decision

[SLOT — PRIMARY CTA MAY BECOME "BOOK A 30-MINUTE WORKING SESSION" PENDING THE TEAM DECISION; WIRED SITEWIDE WHEN DECIDED]