REDUCING FOOD WASTE AT THE CO-OPERATIVE GROUP Introduction to Co-op - - PowerPoint PPT Presentation
REDUCING FOOD WASTE AT THE CO-OPERATIVE GROUP Introduction to Co-op - - PowerPoint PPT Presentation
REDUCING FOOD WASTE AT THE CO-OPERATIVE GROUP Introduction to Co-op Food The Co-operative Group was founded in 1844. Its food retailing division, Co-op Food, is currently the UKs largest convenience retailer. 2,600 7.5bn 283m 70k 2019
The Co-operative Group was founded in 1844. Its food retailing division, Co-op Food, is currently the UK’s largest convenience retailer. It’s important to Co-op members that their business is run in an ethical and sustainable manner and Co-
- p is committed to stopping the growth of food waste. It has a long history of taking the lead on the
issues that matter most to members, from climate change to ‘Fairtrade’.
Introduction to Co-op Food 2,600
Stores
£7.5bn
Food sales
£283m
Food profit
70k
Colleagues
2019
Grocer of the Year
6 years
LFL growth
What was the challenge?
Waste (reduced 80% and destroyed 20% product) was too high, primarily driven by fresh foods. Co-op Food had an existing waste solution, but there were significant limitations.
Factors that determined the markdown percentage were static. Highly variable store compliance to actioning markdowns. Stores often marked down regularly overrode the markdown price. Incomplete analysis – no consideration of day of week, product or store type. IT managed the algorithm separate from the business.
Project “Follow the Gun”
Co-op integrated its existing handheld application with Retail Insight’s Waste & Markdown system using RI’s API. The solution objectives were to:
Maximise sales Ensure sell-through Minimise waste Release colleague time Improve compliance Keep capital and costs flat
Strategy
Leverage ML modelling to identify optimal markdown based on agreed targets on waste, sales, labour hours…etc. The algorithm should consider variables that drive a higher or lower markdown:
Type of store and pattern of trade Type of product Stockholding / PI Time of day and day of week Days to expiry and markdown iteration Product price elasticity
The system produced +200 million potential markdown values from the unique combination of variables.
To understand the financial results and compliance at store, a pilot was established with the following
- bjectives and started within 8 weeks of data receipt:
- Reduce waste as a % of sales.
- Cash waste reduction per store per day.
- No increased disposals.
Pilot
Based on the initial success of the pilot, Co-op immediately planned the roll-out to all 2,600 stores, over a three-week period, just four months from the pilot starting.
- Co-op had complete confidence that the algorithm worked.
- The Co-op’s mantra was to “follow the gun”.
- Store colleagues found markdowns easier to accept – they trusted the proposed markdown.
- A dedicated RI analyst was deployed as an extension to The Co-op’s Profitable Sales Team.
- Following Co-op’s success, many regional co-ops* have rolled out or are scheduled to roll out
this year.
*separate legal entities
Rapid scaled deployment
It’s really easy to just follow the gun Easy for my team to understand Great final reductions - thanks for sorting it Far better reductions than before Final reductions much better Reductions are selling through and I get less in the bin
Feedback from store colleagues
Simple execution via an API
Delivered a reporting suite and deep dives
Year Week DivisionID FirstMarkdownScore SecondMarkdownScore MarkdownOverride DoubleClicking StraightInTheBin StraightInTheBinLOR 77.2% 76.5% 5.8% 0.6% 9.6% £64,599.77 73.7% 84.9% 6.0% 1.1% 10.2% £1,135.09 79.3% NULL 9.2% 2.9% 6.7% £17,576.22 86.2% 81.1% 3.6% 1.1% 9.9% £60,429.88 72.7% 78.6% 3.9% 0.8% 22.3% £124,038.11 61.6% 69.7% 5.9% 1.2% 8.7% £31,107.79 64.5% 49.1% 8.5% 2.3% 15.0% £10,246.44 75.0% 75.0% 5.4% 1.1% 11.8% £309,133.30 69.3% 69.5% 6.6% 0.6% 12.6% £97,651.44 69.1% 71.4% 5.8% 1.7% 14.0% £1,020.52 80.8% NULL 10.2% 2.4% 11.2% £26,129.54 84.1% 74.8% 3.8% 1.1% 12.3% £80,040.93 68.7% 73.0% 4.1% 0.9% 27.4% £19,515,597.73 53.5% 61.1% 5.3% 1.4% 11.7% £34,680.86 62.4% 51.9% 10.6% 3.7% 18.7% £13,968.32 70.5% 68.7% 5.7% 1.1% 15.5% £19,769,089.34
Internal Report : By trading group compliance ,sell thorough ,cash & %. Plus override
SUN MON TUE 12,150 16,192 14,326 2,647 2,886 3,087 17,664 26,653 20,632 26,166 39,499 46,564 2,499 4,175 2,073
First Markdown
Markdown volumes by day by Dept. Wow view . Action to traders and supply
SUN MON TUE 2,926 4,857 5,897 5,468 8,787 10,561 14,709 10,188 5,877 7,800 7,404 7,591 9,090 10,474 10,916 10,133 1,839 2,222 2,563 2,386
ITB volumes by day , wow Trading Depts .performance ITB performance YOY
Cash £ Savings We successfully met and exceeded the year 1 savings target.
Direct Benefits
Reduction in waste as % sales Store Compliance Overall improvement with markdown process timing and markdown overrides.