Every gram matters.

In food, bakery, dairy, beverages, protein bars, or confectionery, small recipe variations lead to:

heavy wastage

inconsistent taste

poor texture

product failures

unplanned rework

Revolv ERP analyzes historical batch performance, machine parameters, and ingredient quality to:

stabilize recipes

recommend improvements

maintain consistency

adjust ingredient ratios based on yield results

Stable output, zero unpredictable variance.

Inventory waste kills profitability.

Revolv ERP applies machine learning to:

predict consumption rate

identify slow-moving stock

prevent expiry-based losses

highlight raw material aging

enforce FIFO/FEFO automatically

trigger redistribution between branches

Use what will expire first, not what is “convenient.”

Overproduction and stockouts both destroy revenue.

Revolv ERP forecasts demand using:

seasonal trends

past order cycles

product life cycle

customer buying patterns

weather and holiday data

distributor performance

By predicting the quantity that will sell, it automatically adjusts production volumes.

You produce only what the market will absorb.

Wastage often begins at the machinery level.

Temperature fluctuations

Roller pressure

Mixer speeds

Cooling time

Ovens cycles

Cutting blade calibration

Packaging machine failure

Revolv ERP monitors these conditions and identifies abnormalities.

When thresholds shift, AI alerts your team before quality drops.

You protect batches from human and mechanical error.

Every batch has a story: input vs output.

Revolv ERP tracks:

expected yield vs achieved yield

material loss at each stage

labor efficiency

rework ratio

wastage per product line

Over time, the system learns:

which machine produces most scrap

which recipe loses mass

which line operator causes inconsistencies

Your operations mature into a predictable profit engine.

Cheap suppliers often destroy product quality.

Revolv evaluates:

defect rate

delivery punctuality

batch rejection ratio

seasonal quality

yield-based analysis

AI then automatically ranks vendors and recommends who to buy from.

Raw material consistency → product consistency → less wastage.

Wastage doesn’t start at the end it starts at the beginning.

Revolv tracks loss at:

Procurement & storage

Batch preparation

Production stage

Packaging

Dispatch

Returns

Every gram and every rupee is monitored.

You know EXACTLY where resources leak—and how to fix it.

Warehouses become graveyards of ambition.

Unsold finished products

Cold chain disruptions

Batch expiry

Excess packaging

Inventory shrinkage

Revolv ERP uses AI-driven stock distribution and reverse logistics intelligence to prevent

dead inventory across multi-city or multi-franchise networks.

Produce → sell → replenish

Not produce → store → panic