Stop Food Waste Before It Hits the Shelf
Wed Jun 03 2026
Author
Noah Xiao
Every year, over 1 billion tonnes of food is wasted globally, representing over $1 trillion in lost value. In Australia alone, over 7.6 million tonnes of food is lost to landfill annually, costing the economy more than $35 billion.
Generally, the go-to approach for avoiding waste in the current retail industry is markdowns. This adjusts the price in the hope that the product will sell faster, which helps reduce waste, but often hurts margins. More importantly, new products that are “destined to be wasted” are still being produced and stacked on shelves, which does not solve the problem in the long term.
While having a precise, demand-aware pricing engine is critical for clearing short-dated stock, it is just one half of the equation. To truly protect retail profit and environmental sustainability, businesses must move upstream to understand exactly why that excess inventory was sitting on the shelf in the first place.
Seeing the Real Cost: Quantifying the Root Cause of Waste
To effectively eliminate waste, retailers must improve visibility to take the right action. This means shifting away from guessing and moving toward a rigorous, scientific approach that drills into the specific products, locations, and underlying reasons driving your waste.
When a retailer can visualise the exact financial weight of each issue, they can prioritise measurable actions. For example, general replenishment issues can be traced down to highly specific factors like Demand and Order Plans, Delivery Windows, Lead Times, Minimum Display Quantities (MDQ), or Safety Stock. By attaching a dollar value to a bloated safety stock policy versus a supplier lead time delay, businesses know exactly where to direct their energy to recover margin.
Inside Our Root Cause Analysis Solution
The best way to stop waste is to catch it before it even reaches the shelf. jahanVerse builds on our dynamic pricing solution by adding advanced causal analysis and simulations. This allows retailers to map out and simulate their entire supply chain, making it easy to pinpoint exactly where bottlenecks occur and why waste is being created in the first place.
We use counterfactual inference to the digital twin of your supply chain and run "what-if" scenarios. By systematically isolating and adjusting individual variables, like tweaking a safety stock buffer or altering a lead time, the model quantifies the variance in waste output. It’s like a controlled experiment where we measure the sensitivity of waste to each specific operational lever, giving us a clear, mathematical attribution of value to every bottleneck.
Root cause modelling in jahanVerse
Combining the scientific root cause modelling and our AI simulation engines, jahanVerse runs millions of simulations across your entire supply chain, covering every single replenishment lever, including:
- Demand Forecasting:Inaccurate forecasting is one of the biggest drivers of waste, leading to systemic over-ordering relative to actual demand.
- Replenishment:Misaligned safety stock parameters frequently force stores to hold excess inventory they cannot sell before expiration.
- Cannibalisation:Failing to account for new product launches impacting existing lines results in significant over-stocking.
- Inventory Accuracy:Discrepancies between system and physical stock levels lead to misinformed replenishment decisions and unnecessary waste.
- Range & Space:Inefficient product mix or shelf space allocation forces excess stock into demographics that do not support the volume.
- Store Process:Suboptimal in-store handling and rotation procedures cause stock to age faster than necessary.
- Carton Size:Mismatched carton sizes relative to store velocity frequently push excess inventory beyond shelf capacity.
- Supplier:Inconsistent delivery lead times and delays directly impact product freshness and shelf life.
Executing these millions of simulations does more than just help businesses understand the root causes of their waste. It enables the system to provide specific, data-backed recommendations on exactly where and how to improve your operations to avoid creating waste in the future.
Why Partner with jahan.ai
The businesses we see thriving in this complex environment aren't just reacting to waste as it happens; they are utilising predictive intelligence, simulation, and comprehensive visibility to stop it at the source.
Partnering with jahan.ai means collaborating with a team of top-tier supply chain experts, data scientists, and engineers who combine deep retail expertise with cutting-edge AI. We help you diagnose the root causes of your waste, delivering real, measurable value through our jahanVerse platform.
The Results: Our clients typically achieve an average of 60% reduced wastage through our Optimal Markdown Solution. By layering on our root cause analysis and supply chain simulations, our clients typically capture an additional 30% reduction (on top of our markdown solution), bringing the total impact to a massive 90% reduction in food waste.
If you are thinking about how your team handles short-life inventory, waste root cause analysis, and margin recovery, we'd genuinely enjoy the conversation. Drop us a line at info@jahan.ai. We're always keen to share what we've seen across the industry and help where we can.
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