AI recipes and batch production

AI recipes.Cost every batch.See the real yield.

TajerGo connects recipe setup with ingredient cost and controlled batch production. When AI recipe assistance is enabled, it can prepare an ingredient draft for a person to review. Approved recipes then support food-cost calculation, ingredient movement and production records.

See the production workflow Book a restaurant demo

Your team reviews the recipe. Your kitchen confirms the real batch.

In short

From recipe draft to batch cost and yield in one operating record

TajerGo supports restaurant recipe costing and batch production in one inventory workflow. Teams can define or review ingredients and units, calculate recipe cost from available item records, plan a production batch, record material use, complete finished output, and review yield and cost variance. AI recipe assistance can prepare a starting draft when enabled; kitchen staff confirm the real recipe and quantities.

Drafted

Start a recipe without a blank sheet

Costed

Connect ingredient records to dish cost

Traced

Review material use, output and yield

See the product at work

See the workflow in the product.

01 / AI Recipe Assistant

Prepare a recipe draft for a cook to review.

When enabled, the AI Recipe Assistant can prepare a commercial recipe and ingredient breakdown from a dish name. The result is a starting point. A person checks the version, ingredients, quantities and units before applying it to the restaurant record.

Dish-based starting draft
Ingredient and unit suggestions
Human confirmation before use

TajerGo AI Recipe Assistant opened for the Al Waha demonstration workspace with a saffron chicken rice bowl request prepared for chef review — Prepare an AI-assisted recipe draftAuthentic TajerGo product capture from the isolated Al Waha local demonstration workspace. The request is synthetic, nothing was saved, and no customer data is shown.

02 / Recipe costing

Connect the recipe to current ingredient records.

Map each recipe line to the supported inventory item and unit. TajerGo can use the available approved cost record to calculate a food-cost view for the dish. Missing or uncertain mappings remain visible for correction.

Ingredient and unit mapping
Available approved cost context
Visible missing-data review

TajerGo Shakshuka recipe for the Al Waha demonstration workspace with ingredients mapped to stock items, quantities, units and current cost context — Map ingredients to current stock recordsAuthentic TajerGo product capture from the isolated Al Waha local demonstration workspace. Values are synthetic and no customer data is shown.

03 / Production planning

Plan what the kitchen intends to produce.

Create a production batch against an approved recipe, branch and planned output. The team reviews the setup and the required material context before production starts.

Approved recipe and branch
Planned output quantity
Visible batch status

TajerGo Production Center for the Al Waha demonstration workspace with Croissant Dough Batch selected and the branch production queue visible — Plan from an approved batch recipeAuthentic TajerGo product capture from the isolated Al Waha local demonstration workspace. Values are synthetic and no customer data is shown.

04 / Material use and completion

Record what was used and what was actually produced.

Supported production steps record material consumption, completed output, process waste and completion context. Kitchen staff confirm the physical quantities; the system does not invent the result.

Material consumption
Actual finished output
Process waste and completion record

TajerGo Production Center for the Al Waha demonstration workspace showing batch 86, planned and actual quantity, cost, yield variance and completion controls — Record batch use and outputAuthentic TajerGo product capture from the isolated Al Waha local demonstration workspace. Values are synthetic and no customer data is shown.

05 / Yield and cost review

Compare the plan with the real batch.

Review planned output, good output, yield difference, material-cost variance, total cost and cost per output unit where the required records are available.

Planned versus actual output
Yield and waste context
Cost per output unit

TajerGo batch production report for the Al Waha demonstration workspace showing completed batches, good output, process waste, total cost and batch-level trace controls — Review yield, waste and batch costAuthentic TajerGo product capture from the isolated Al Waha local demonstration workspace. Values are synthetic and no customer data is shown.

Connected operating workflow

From dish idea to reviewed production cost

01
Prepare or define the recipe.
02
Confirm ingredients, quantities, units and mappings.
03
Review the calculated food-cost context.
04
Plan and approve the production batch.
05
Record material use and actual output.
06
Review yield, waste and cost before closing the batch.

AI prepares a starting point. Kitchen records decide the truth.

A generated recipe is not a verified kitchen specification. Staff confirm ingredients, units, allergens, method, output and physical production quantities. Availability depends on the enabled plan, permissions and deployment.

Generated recipes require review

Ingredient mappings stay visible

Kitchen staff confirm actual quantities

Production writes follow permissions

Buyer questions

Clear answers before you change the workflow.

Read the UAE restaurant recipe-costing guide

Can TajerGo generate a restaurant recipe?+

When AI recipe assistance is enabled, TajerGo can prepare a commercial recipe and ingredient draft. A person reviews and confirms it before use.

Does TajerGo calculate recipe cost?+

It can calculate food-cost context from mapped ingredient quantities, units and the available approved cost records. Missing or stale cost data affects the result.

Can TajerGo manage batch production?+

Supported workflows can plan a batch, record material use, complete output and review yield, waste and cost. Availability depends on the enabled plan and setup.

Does completing a batch create finished stock automatically?+

Supported completion can record the approved material and output effects through the configured inventory workflow. Staff confirm the physical result and required permissions apply.

Does AI decide the final recipe or yield?+

No. The kitchen confirms the recipe and the actual production quantities.

See Recipes & Batch Production in your restaurant setup

Review your workflow, branch setup, implementation scope and team needs with the TajerGo team.

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