AI models weigh every shipment from plant to warehouse in real time – picking routes, carriers and catching disruptions automatically. Since FY2024 that's $20M+ in transportation savings, with $50M in manufacturing-waste reduction projected for 2025.
Planned & optimized in real time
Since fiscal year 2024
Projected for 2025
Routing, carrier & disruption
Every day, thousands of shipments move from General Mills' plants to its warehouses and customers. Each one is a chain of choices: which route, which carrier, which lane, what to do when a truck is late or a storm closes a corridor. Traditionally those calls are made on static plans and refreshed too slowly to react.
At 5,000+ shipments a day, even small inefficiencies – a slightly worse carrier rate, an avoidable empty mile, a disruption caught an hour too late – compound into millions in avoidable freight spend and spoiled product. No planning team can re-optimise every shipment, every minute, against live conditions.
The models ingest live shipment, carrier and network data and make three decisions automatically, in real time: the most efficient route, the best-value carrier, and an early read on disruptions before they cascade. Instead of a plan set once a day, every shipment is continuously re-optimised against what's actually happening on the network.
Illustrative – representative of how each shipment is routed and re-optimised.
in transportation cost savings since FY2024 – from smarter routing and carrier choice on every shipment.freight is a top operating cost
in manufacturing-waste reduction projected for 2025 as the same approach extends past transport.
shipments a day planned and re-optimised in real time – a volume no human planning team could touch.
routing, carrier selection and disruption prediction – all automated, all continuous.one system, three decisions
Each shipment looked like a rounding error. Multiplied by 5,000 a day, it was $20 million on the table.The pattern behind every good automation
You don't move freight at General Mills' scale – and you don't need to. Every business has a high-frequency decision made the same rough way thousands of times: which option, which vendor, which price, what to do when something slips.
That's the work we put a machine on. We connect your live data, build the system that makes the best call every time, and run it – and we prove the number on your real data in 30 days, or you pay nothing.
General Mills found $20M in the small stuff. Your small stuff adds up too.
A 30-minute call with our senior team. You'll leave knowing what's automatable in your business, the number we'd go and hit, and how the money-back pilot works – whether you hire us or not.
30 minutes of pure value – no slide deck, just your numbersOr reach us directly · Telegram · info@beawhale.io
Figures from public reporting and General Mills' own disclosures on its AI-driven supply-chain and transportation program. The 5,000+ daily shipments, $20M+ in transportation savings since fiscal year 2024 and ~$50M in projected 2025 manufacturing-waste reduction are drawn from those accounts; projected figures are company estimates, not audited results. The network window above is illustrative. BeAWhale is not affiliated with General Mills – this story is shared as an industry reference of what supply-chain AI makes possible.
