OpEra

Baosteel replaced manual planning at its Shanghai steel plant with four optimization systems. Its estimate: $76.81M in benefit from 2007 to 2012 and 585,770 fewer tons of CO2 a year. Planning from experience at a smaller plant? OpEra builds that model in weeks, on your own data.

Tata Steel let an optimization model reset its annealing furnace every minute. Strip within 5°C of target rose from 30% to 50% and fuel per ton fell 8%, by its count. A mid-size heat treater has the same problem. OpEra builds that model in weeks, on your own data.

Merck Animal Health built models that decide how each vaccine batch is run, including when to harvest. It added $200M in revenue with no new equipment, by its own count. One fermentation plant has the same problem. OpEra builds that model in weeks, on your own data.

Samsung cut the time to make a memory chip from 80+ days to under 30 with a model that sets work-in-process targets at every step. The authors estimate $1B in extra sales. A three-line plant has the same problem. OpEra builds that model in weeks, on your own data.

Motorola built a model that decides which supplier wins which part, within capacity limits. It saved more than $600M on $16B of spend, by Motorola's count. A plant with 40 suppliers has the same problem. OpEra builds that model in weeks, on your own data.

Same planes, same seats. American Airlines estimated $1.4B in extra revenue over three years from deciding, with a model, which seats to sell at which fare. Trucks, lines, slots: any fixed capacity has that choice. OpEra builds that model in weeks, on your own data.

In 1997 CSX put in a model that decides which empty railcar goes to which customer order. CSX's 2009 estimate: over $51M saved a year and $1.4B in railcars never bought. Trailers, containers, rental gear: same problem. OpEra builds that model in weeks, on your own data.

Alibaba promises groceries in 30 minutes, so its routing models get seconds to plan picking and delivery. The authors count about $55 million a year saved across five businesses. Routes that change all day, at your size? OpEra builds that model in weeks, on your own data.

Chile feeds 1.3 million schoolchildren a day. Since 1997 an optimization model has decided which caterer serves which region: prices came in about 22% below trend. Awarding lanes or contracts by judgment? OpEra builds that model in weeks, on the data you already have.

Hewlett-Packard had too many products. A model showed which ones covered most of the revenue, and which to launch. HP counts more than $500M in added profit since 2005. Too many SKUs for your lines and warehouses? OpEra builds that model in weeks, on your own data.

Sears routed 12,500 service vans and 1,000 delivery trucks with a model that built tomorrow's routes overnight. Savings by Sears's count: over $42M a year. It works for 30 vans too. OpEra builds that model in weeks, on the data you already have.

Netherlands Railways threw out a timetable from 1970 and rebuilt 5,500 daily trains with optimization models. Its estimate: €40M a year in extra profit on the same tracks. Is your schedule still built on an old structure? OpEra builds that model in weeks, on your own data.

Every carcass can become hundreds of cuts. Swift & Company used 45 optimization models to decide which, as orders came in. Return: 200% in year one. Any plant that turns one input into many products has that choice. OpEra builds that model in weeks, on your own data.

Lenovo's largest laptop factory now schedules its 43 assembly lines with a model instead of by hand. Scheduling went from six hours to 30 minutes and the order backlog fell 20%. The same problem with five lines? OpEra builds that model in weeks, on your own data.

General Motors built models to find the one point holding back each production line. By GM's count: over $2.1 billion in added revenue and savings across 30+ vehicle plants. Your plant has a bottleneck too. OpEra builds that model in weeks, on your own data.

TNT Express put models under choices its depots made by hand: where depots go, which trucks run between them, the local routes. Savings by its count: €207M in four years. Was your network drawn once and never redrawn? OpEra builds that model in weeks, on your own data.

OpEra is live. Custom AI decision engines for operations teams: production schedules, warehouse plans, delivery routes, re-planned when a machine breaks, a truck runs late or an order changes. 38% lower delivery cost for a major retailer in weeks. Build at MIT. YC F26.

Danish ferry line Molslinjen forecasts every departure a year ahead, then sets ticket quotas, fares and how to pack the car deck. Estimated gain: up to $3.2M a year, 3% less fuel. Setting capacity and prices close to the date? OpEra builds that model in weeks, on your own data.

Chevron runs seven refineries on one optimization model: which crude to buy, what to make, how to run each unit. Chevron puts its value at close to $1B a year. Every plant makes those three choices. OpEra builds that model in weeks, on the data you already have.

Meituan delivers 60 million orders a day. Every 30 seconds a model decides which courier takes which order. Delivery time per order fell 21%, courier distance 24%. A dispatch desk with 40 drivers has the same problem. OpEra builds that model in weeks, on your own data.