Retail+ Workflows Reduce fresh department waste with better production data
Waste & Shrinkage
TierLite

Reduce fresh department waste with better production data.

Fresh production is a daily bet: make too much and it goes in the bin at close, make too little and the sale walks. This workflow puts real day-of-week sales patterns behind the call, so production matches demand instead of habit.

The problem

How much to make is a daily guess.

In deli, bakery and hot food, how much to make is decided early, often from memory and a feel for the day. Make too much and the surplus is thrown out at close; make too little and customers find an empty case. Either way it costs, and the cost hides in the waste bin where nobody totals it.

The pattern that would settle it, how each line really sells by day and by hour, is in the sales data, but few departments have a quick way to see it.

Retail+ reads that daily detail live. Production planning stops being a morning guess and starts from what the department actually sells.

What to watch

The patterns this workflow puts in front of you.

01

How a line sells by day of week

The real shape of demand across the week, so Monday's production is not built on Saturday's memory.

02

The days that regularly miss

Where a department tends to over-produce or run short, week after week, worth adjusting first.

03

The lines with the most at stake

The products where waste or lost sales cost the most, so the effort goes where it pays.

How the workflow runs

From guesswork to a production plan, five steps.

01 Detect

See how each fresh line sells

In Retail+, look at how each fresh line sells by day and by hour, live from the tills, so the real demand shape is in front of you. As tapestry's signal engine rolls out, Retail+ will surface these patterns automatically; today this is a view you open.

02 Analyse

Confirm the pattern, find the gaps

Compare recent weeks to confirm the pattern is steady, and set it against what the department currently produces to find the gaps.

03 Ask

Put the production questions to Hank

Put the production questions to Hank in plain English and the answer comes straight back, drawn from your own POS.

Ask Hank Pro

Illustrative of what you can ask once your data is connected.

  • How does bakery sell by day of week?
  • Which days do we sell the most hot food?
  • Show me deli sales by hour for a typical Saturday.
04 Act

Adjust the plan, raise the change

Adjust the production plan to match the pattern, and raise the change as a task with an owner and a due time so it sticks.

05 Measure

Watch waste and availability

Watch waste and availability after the change to confirm the department is making closer to what it sells.

Outcomes

What this workflow produces.

Day and hour sales picture

For any fresh line, on demand.

Where it over-produces or runs short

A read on where the department regularly misses.

Plans adjusted to real demand

Production plans raised as tasks with owners and tracking.

Less waste, fewer empty cases

Less thrown out at close, with fewer empty cases during trade.

What changes

Before and after.

Before

Production is set from memory each morning, surplus goes in the bin at close, and the cost of the waste is never really counted. A short run quietly loses the sale.

After

The production plan starts from how the department actually sells by day. Waste drops, availability holds, and the call is backed by the data.

Economic impact

What the model says it's worth.

Modelled net value · per store, per year
A$27.5k
Conservative estimate on a A$30m store

The tapestry® Economic Impact Report models a conservative A$27.5k of net value per store per year, a central estimate of A$85.7k, and up to A$181.4k at the top of the modelled range, on a A$30m store. Modelled scenario only. Individual results may vary.

Suited roles

Built for the people who run fresh.

Ready to see Retail+ on your shelves?

Run the 4-week free trial on your own POS data and make fresh to the pattern, not the guess. No setup fees.