Uncooked pasta, shaped like tubes, on a baking sheet, being prepared for cooking in an oven.
Uncooked pasta, shaped like tubes, on a baking sheet, being prepared for cooking in an oven.

Take the Guesswork Out of Restaurant Demand Forecasting

Sightline OS uses machine learning to predict ingredient demand across your restaurant network — so your team is always prepared, never scrambling

How Sightline OS’ forecasting allows for a more stable supply chain team: 

Heart-shaped sugar cookies with red sugar sprinkle decoration and white icing details, accompanied by small pastel-colored heart and circle candies on a white plate.

01
Predict demand accurately across seasonality, holidays, LTOs, and new openings

People reaching to serve themselves slices of pizza on a table.

02
Reduce food waste with forecasts that get smarter the longer you use them

Person cutting fresh pasta dough into strips in a kitchen, wearing white gloves.

03
Give your production and procurement teams a reliable schedule to work from

“Sightline has helped our team improve forecasting accuracy, increase pricing transparency, and manage service issues more efficiently by bringing critical supply chain data into one platform.”  

— Humza Syed, Senior Distribution Manager, Din Tai Fung

Red Chinese characters with the words 'DIN', 'TAI', and 'FUNG' underneath.

The machine learning engine recognizes demand patterns and captures daily ordering cadence, seasonality, holidays, and recent volume shifts while remaining robust to sparse and volatile data

A line graph comparing forecasted and actual COVID-19 cases delivered to restaurants from March to June 2026, with days on the x-axis and cases on the y-axis.

Forecasts incorporate ramp-up periods for new restaurant openings, LTOs, and marketing campaigns with your historical data, so you’re always making data-driven decisions when it comes to a new SKU

Line graph comparing forecasted versus actual restaurant cases over time from March 27 to April 17, 2026.
People sharing traditional Asian dishes, including steamed dumplings, green vegetables, and various sauces at a dining table.

After implementing Sightline OS, Din Tai Fung saw a 14% lift in forecast accuracy

Reduce food waste with Sightline OS forecasts that get smarter the longer you use them

Green beans in a cardboard produce box at a grocery store or market.

Opening new locations? Sightline OS has you covered.


Sightline OS uses machine learning to predict the ramp-up for new restaurant openings — so your supply chain is ready before the doors open and ready to meet changing demand.

Your Questions, Answered

Great guest experiences start with a supply chain you can rely on.