Operational waste can hide in excess supplies, stalled work, inaccurate stock counts, and missed demand signals. This article shares practical tools that help teams reduce waste, improve visibility, and make better resource decisions. Insights from experts in the field show where these tools deliver the greatest impact.
Our biggest waste problem wasn't obvious at first, it was cardstock and envelopes sitting in a warehouse bin getting damaged or going out of date before we ever used them for a run. We build the robotic machines that write our handwritten notes, so paper stock isn't cheap and it isn't infinite; wasting it actually hurts.
We ended up building a simple inventory tracking system tied straight into our order pipeline. It flags stock levels against upcoming batch runs so we're only pulling what a job actually needs instead of guessing and over ordering "just in case." Sounds basic, but before that we were eyeballing it, and eyeballing inventory across 11 people and multiple SKUs of stationery is a recipe for waste.
The metric that told the real story was scrap rate per batch. We cut it by close to a third once ordering matched demand instead of habit. Reorder timing improved too; we stopped doing panic orders that cost more per unit.
The bigger lesson: waste in ops almost never shows up as one dramatic loss, it's a hundred small ones that add up quietly. If you're not tracking at the SKU or batch level, you're probably underestimating it. Once we had the data, the fix wasn't complicated, it was just visibility we didn't have before.
Rick Elmore, Founder and CEO, Simply Noted
An operations dashboard that combined project stages with work-in-progress limits changed how labor was managed. Most agencies treat utilization as the headline metric, but high utilization can hide queueing waste. When every specialist is fully occupied, urgent work waits, handoffs degrade, and senior people become expensive traffic controllers.
The dashboard flagged any stage where incoming work exceeded completed work for two consecutive days. The team used it to move demand, not simply people, by delaying low-value requests before they entered production. Cycle time fell 29 percent, rework hours declined 24 percent, and missed internal handoffs were cut nearly in half. I consider queue age valuable because it measures trapped value.
Assaf SternbergFounder & CEO, TiroflxA simple ERP-backed resource and project tracking system made the biggest difference because it gave us one place to see supplier status, material or order progress, quality checkpoints, and shipment readiness. In manufacturing, waste often comes from duplicate follow-up, missed handoffs, and acting on outdated information. The biggest improvement showed up in fewer repeated checks, fewer avoidable delays, and less time spent reconciling different versions of project status. The lesson is that visibility itself can be a form of waste reduction.
David JolesChief Operating Officer, PURCOR Pest SolutionsWe've had a lot of great experiences with Smartsheet for resource management. There are now a decent handful of different tools like it for resource management, but I find Smartsheet to be one of the most comprehensive options. It's what we rely on heavily for project management, and it really helps simplify things down which ultimately helps reduce a lot of time waste. With a hybrid workplace, that's invaluable, because often a lot of time gets wasted purely with trying to communicate with everyone. Cycle time in particular is a metric that has improved with the use of Smartsheet.
Dawn StutzmanOwner, Stutzman PlatingOne resource management tool that significantly reduced waste in our plating operations was a digital chemical inventory and usage tracking system. In metal plating, small inconsistencies in chemical additions can create unnecessary waste, so we began tracking consumption against bath volume, production load, and replenishment schedules instead of relying primarily on manual estimates. I remember reviewing one plating line where chemical usage kept creeping upward even though production volume had barely changed; the tracking data helped us identify that replenishment was happening earlier and more frequently than necessary. After tightening the process, the most noticeable improvements were lower chemical consumption per production run, fewer unnecessary bath adjustments, and less hazardous waste requiring disposal. We also started watching chemical cost per job and the frequency of corrective additions, because those numbers often reveal waste before it becomes obvious on the shop floor. For other plating operations, I recommend measuring material consumption against actual production output rather than simply comparing monthly purchasing totals.
Nezhdeh ParsanjOwner, Opus Event RentalsOne inventory management tool that significantly reduced waste in our event rental operations was a barcode-based tracking system tied to real-time inventory counts. Before implementing it, duplicate pulls and misplaced rental pieces could easily happen when several events were being prepared simultaneously. I remember one particularly busy weekend when two crews were scheduled to use overlapping furniture collections, and the system flagged the shortage early enough for us to adjust allocations instead of making a last-minute purchase. The biggest improvement we saw was in inventory accuracy, followed by fewer replacement purchases and fewer unnecessary transfers between event sites. We also started tracking damaged or missing items by category, which helped us identify pieces that were consistently creating losses. My advice is to measure inventory accuracy, replacement spending, loss and damage rates, and emergency purchases before and after implementation—those numbers reveal whether the tool is actually reducing waste.
Ben Frederick MDFounder, Dr. Frederick's OriginalThe single biggest improvement to my operations came from getting real-time visibility into inventory across every sales channel. We sell through Amazon, Walmart, our own site, TikTok Shop, and into health practices and boutiques across the U.S., with expansion into the UK and Germany. Before we had a system tracking product movement across all of those locations in one place, we were flying blind. We'd overstock certain SKUs in one warehouse while running low in another, and slow-moving items would sit for months before anyone flagged them.
Once we had automated reorder alerts tied to sell-through rates, and the system started identifying slow-moving inventory automatically, my purchasing decisions got tighter. Instead of buying based on gut, I bought based on demand forecasting that pulled from sales data across every channel. We could see exactly where product was piling up and redirect or discount it before it became waste.
The metrics that moved most were inventory turnover and carrying costs. Faster turns meant less capital tied up in product sitting on shelves, and lower carrying costs freed up cash I could put back into developing new products. For a physical goods business selling targeted health and wellness products, that freed-up capital lets me start on the next product instead of leaving my money locked in boxes nobody's buying.
Kyle BarnholtCEO & Co-founder, TrewupThe tool that made the clearest difference was a shared dashboard for tracking deduction status by retailer, reason code, and age. We used it to give each issue a clear owner and make stalled claims easier to spot. This helped us see which problems were repeating across accounts instead of reviewing the same issue several times. It also gave the team a clearer view of where attention was needed.
The most meaningful result was fewer manual touches on each claim, which gave us more capacity without adding headcount. We also resolved deductions faster because the team could act on visible patterns. The improvement came from better visibility rather than more meetings or extra effort. When we can identify recurring issues by source, we can fix the process instead of repeatedly absorbing the cost of individual exceptions.
Carolyn VasquezFounder, Ready Rental CleaningThe tool that cuts the most waste in turnover cleaning is a fixed restock list, and it's a boring one. Paper goods only. Toilet paper, paper towels and trash bags get topped up on every turnover, from the host's cabinet stock first, with the cleaner's kit as backup so nothing gets skipped. Soap, shampoo and coffee never go on the list. The host stocks those.
Most waste in this work comes from guessing. When a cleaner has to decide what a unit needs, they overbuy, double-stock a closet, or leave the place short. Short means an emergency store run between guests. A fixed list takes the guess out.
The two metrics I'd track are stockouts per month and supplies spend per turnover. Stockouts are the sharp one, since a unit either ran out or it didn't, and a guest with no toilet paper at 9 p.m. shows up in the review. Spend per turnover drifts down more slowly, but it tells you the closets have stopped filling up with duplicates.
I'd write the list on paper and enforce it for a month before paying for any software to track it.
Jae JunFounder, Gorilla ROIWe use Gorilla ROI to pull daily inventory data from Amazon into Google Sheets for The Crown Choice. Every SKU has a days-of-stock column that updates automatically overnight.
We used to find out a product was running low when orders stopped coming in. By that point the damage was done, all the PPC spend we had put in to build ranking and velocity was wasted the moment we went out of stock. We caught our two best sellers trending toward a stockout in February and reordered in time.
The metric that showed the most dramatic improvement was ROAS. Our wall cleaner went from 2.37 ROAS in 2024 to 3.52 by end of 2025. Better inventory visibility meant we stopped losing ranking to stockouts, which meant the PPC spend we put in actually held.
Quality failures are a form of inventory waste because flawed work occupies review capacity twice. A defect-routing board made that visible by assigning every returned item a failure code, originating workflow step, reviewer, and correction time. Patterns that had been buried in comments became visible across teams, clients, and time zones.
We stopped celebrating throughput in isolation and tracked first-pass acceptance as the governing metric. First-pass acceptance increased from 71 percent to 89 percent, correction hours fell 37 percent, and average review queue age dropped by 28 percent. The board also clarified where standardization was harmful, since certain exceptions consistently required expert judgment. That distinction helped preserve quality without forcing work through an unsuitable template.
Cem OnerFounder / Finance & Public Data Publisher, Hesap CebimdeExcel and VBA are the resource-management tools I can describe from firsthand work. My experience is in financial resource tracking rather than warehouse stock: I automated employee salary-advance records with payment dates, amounts, and running balances instead of relying on separate manual calculations.
The useful output was a clearer record of what had been paid and what remained outstanding. It did not remove every disagreement, so I would not present the automation as eliminating all waste.
The measures I would use to assess it are time spent reconciling records, corrections needed, and unresolved balances. I do not have a verified before-and-after figure for those measures or a percentage reduction in waste. The lesson I can offer is to make the underlying transaction traceable before claiming that a tool has improved the operation.
Venkata Vamsi Emani PE, PMPProject Controls Senior, TeslaOn the hyperscale data center programs I estimated, three facilities totaling about 400 million dollars and 36 megawatts each, the biggest waste source wasn't labor, it was electrical conduit and cable tray getting over-ordered because the paper takeoff didn't catch duct bank routing changes between design revisions. Moving quantity takeoff into the coordinated BIM model instead of working off 2D sheets let me catch those revision deltas before procurement placed the order instead of after material showed up on site unused. The tool mattered less than the discipline behind it: every revision triggered a re-run of the takeoff against the updated model before any purchase order went out, not after.
Kamyar ShahFractional COO, World Consulting GroupInventory tools reduce waste only when they change a decision rule. A system that reports consumption without changing reorder behavior adds visibility and nothing else. The waste I find sits in the reorder policy, not in the absence of a dashboard.
The category that earns its cost is demand-driven replenishment tied to consumption signals rather than to calendar reorder points. Cin7, Katana, and the inventory modules inside NetSuite all support this pattern. The specific vendor matters far less than whether reorder points get recalculated from measured consumption. Discipline in the reorder rule is the mechanism, and the software only makes that discipline cheap to maintain.
The metrics that move first are inventory turns and the value of obsolete or expired stock written off per period. Carrying cost follows, and stockout rates usually hold steady rather than worsening. Waste reduction shows up in turns before it reaches the ledger. Instrument turns first, then judge the tool.
Scott ShirleyFounder & CEO, Pledge ItPledgeIt is software, so our waste looks different from a warehouse's. In event fundraising, the wasted resources are easy to miss: sponsor tickets that go unclaimed, and past supporters who never get invited back.
Sponsorship is a good example. A sponsor buys a package that includes a table or a block of tickets. When allocation runs through email threads and spreadsheets, seats go unclaimed or get counted twice. Our sponsorship tools keep the package, payment, ticket allocation, and attendance tracking in one place, so an organizer can see which sponsor seats are still open and fill them before event day.
The other resource is a nonprofit's own history. Many campaigns start each year close to zero, even though the most likely supporters already took part last year. Year-over-year data shows who came before and who hasn't returned, so outreach begins with a real list.
For metrics, I'd watch two numbers: sponsor seats allocated compared with seats filled on event day, and the share of last year's participants and donors who return. Those show where resources are being left unused more clearly than a fundraising total, because they look at what you already have.
KEITH YUNXI ZHUChief Executive, TKEG Expat INCAt TKEG Expat, a corporate-services firm, what we used was consolidation followed by deleting the cloud resources that no longer had a job, which AWS's own Well-Architected guidance calls decommissioning workload resources that are no longer required. In July 2026, we moved our site's server-side renderer, APIs and MySQL cache off a deprecated Alibaba US server, and our AI chat app off Azure Container Apps, onto one AWS EC2 t3.medium. After that, we deleted the container app, the container registry, storage, the environment with its 2 certificates, Front Door, an orphaned workspace and a cognitive account, and only kept the model and telemetry.
The level I can show is our steady hosting core, which now sits at about $77 a month at list price, with two workloads from two providers running on one server. On Azure, our trailing 30-day consumption went from about $17.45 to about $1.70 at list price, all sponsorship-funded. However, the container stack itself only cost a few dollars a month and most of that fall came from lower model inference, so I would not credit it to the deletions. Because gross list-price usage rose once the new server was added (the Alibaba bill it replaced is not in AWS), AWS Cost Explorer shows no AWS-side reduction at all, and credits have offset every month since June 2026.
Sai Prasad RavulapallyContinuous Improvement ManagerThe tool was not new software - it was the ERP system the plant already owned, reconfigured. The facility ran at roughly 60% inventory accuracy because every internal pallet movement required a manual bin-to-bin transaction, and with thousands of movements daily, errors accumulated faster than anyone could correct them. I assigned every SKU a dedicated storage location sized by min-max rules, cleaned the master data, and posted material to its final location at goods receipt - which eliminated the routine manual transactions altogether. Inventory accuracy rose from 60% to 98%. Material-related production downtime fell from 26% to 2-3%. Scrap from expired and lost material dropped sharply because first-in-first-out finally worked. The most dramatic metric was the one nobody tracks: search time. When each SKU has exactly one home, finding material stops being a search and becomes a retrieval. Estimated annual savings exceeded one million dollars, with zero capital spent.
Jimi PatelDirector, eStore Factory LLCThe tool that cut the most waste for us was not a warehouse system. It was Amazon's own FBA Inventory Age and Restock Inventory reports, pulled on a schedule and read against each other instead of separately. We built that pairing into SellerQI because almost nobody does it manually.
Here is the waste it kills. FBA bills monthly storage on cubic feet, and the aged inventory surcharge starts at 181 days and steps up in tiers all the way past 365. Most sellers only notice after the fee lands in the settlement report, by which point the units have already crossed a tier boundary. At the same time, restock limits are governed by the IPI score, so slow movers are charging you storage fees and eating the capacity you need for your best sellers heading into Q4.
Reading inventory age against trailing 30 and 90 day sell-through lets you act before that boundary: file a removal order, price to clear, or bundle the unit into a multipack that moves faster.
The metrics that improved most dramatically were sell-through rate and the share of units sitting past 180 days. Excess storage and surcharge fees followed those two down. IPI recovered last, because it is a lagging composite. That makes it a fine scoreboard and a terrible steering wheel.
If you track one number, track units aged 150 to 180 days. That is the last window where the decision is still cheap.
Jessica WattsFranchise Owner | Moving Services | Home Clean-Outs | Estate Sales | Online Auctions, Caring Transitions of West DenverThe clearest metric is our sell-through rate on CT Bids. Across our locations, we sell at least 95 percent of what we list through that platform. That's the number that tells the real story, because it means almost nothing we put up for auction is going unsold and ending up as waste.
Compare that to a typical in-person estate sale, where a meaningful chunk of what's left over just gets hauled away at the end of the day. With CT Bids, buyers from across the country are bidding against each other for items, so things find a home instead of a landfill far more often.
The other piece worth mentioning, even though it's not a percentage, is that anything left over that still has value gets donated.
Julian Frincu FIOEE • MCMI • MIC • MABM • MABP • MIoLFounder & Business consultant, Skills 2 GrowAs my mobile massage network grew from one person to 19 therapists across four counties, I introduced a central availability and location tracker. It records each therapist's working area, availability, services and travel limits, allowing us to match each enquiry with the nearest suitable person instead of contacting everyone individually.
The most useful metrics were response time, unfilled enquiries, travel requirements and booking coverage by area. The greatest improvement came from reducing the time spent finding an available therapist and avoiding unnecessary travel. It also showed where demand was regularly exceeding capacity, helping me decide where to recruit next. This simple system allowed the business to grow while keeping coordination manageable and maintaining a reliable service for customers.
Todd HarmonFounder & Owner, BathGemsWe found a supplier lead time tracker became valuable because delayed decisions created more waste than freight delays. We separated production time, port time, receiving time, and inspection time instead of treating every delayed arrival as one issue. This helped the team see where uncertainty entered the process before making inventory choices. Clear timing made daily planning easier and improved communication across teams.
The most noticeable improvement was lower expedited shipping activity during regular operations. We also saw fewer stockouts across core product dimensions through steadier planning. Better lead time discipline reduced the habit of placing oversized orders to cover uncertainty. This protected working capital, saved warehouse space, and reduced rushed handling decisions overall together.
We built a pretty simple reorder dashboard that pulls sales velocity by SKU and flags anything sitting too long, and honestly, that simplicity was the whole point.
Before we had it, our team ordered based on gut feel and whatever last month's numbers happened to say, which sounds reasonable until you see the result. We'd end up with pallets of slow movers taking up space while the stuff that actually sold ran out at the worst possible time.
The dashboard fixed that by ranking every product on how fast it moves and how much it costs us to hold onto. Anything below a set threshold gets flagged automatically for a markdown or a bundle. Anything above it triggers a reorder alert before we're scrambling. The metrics moved fast once it was in place.
But the biggest surprise honestly was labor. My team stopped losing hours to spreadsheets and started spending that time acting on exceptions instead, which freed them up for actual supplier negotiations. None of this needed AI or a big budget behind it, just clean data and one rule we actually stuck to.
Akhilesh KorpeIndustrial Project Manager I, Smith Seckman Reid IncIn continuous-flow industrial environments like bulk material handling, the most expensive form of waste isn't necessarily discarded product; it is lost capacity and uncaptured idle time.
To combat this during my tenure as Operations Supervisor at Ardent Mills, I transitioned our operations away from delayed, batch-based tracking and implemented an Automated Throughput-Based Overall Equipment Effectiveness (OEE) Dashboard, governed by a strict 5-minute no-flow timeout rule.
Traditional inventory tracking often masked massive micro-stoppages. By using edge-computing telemetry to monitor actual material flow in real time, the new system instantly flagged operational friction. If grain stopped moving for more than five minutes, the system triggered an automated exception alert. This forced immediate root-cause intervention on the plant floor, rather than letting a minor bottleneck cascade into a major supply chain delay.
The metrics showed a dramatic and immediate improvement in resource utilization. By eliminating operational blind spots and maintaining continuous flow, this automated logic directly drove an 84.6% decrease in freight demurrage costs compared to historical plant averages. It proved that in high-volume manufacturing, controlling your inventory's real-time velocity is the ultimate lever for eliminating systemic waste.
Sevan SevanFounder, FringWe apply inventory thinking to a place nobody treats as inventory: the personal wardrobe. Most people can't list what they own, so they rebuy duplicates, which is pure waste in textile terms.
Fring catalogs clothing from photos (the AI fills in category, colour and material) and tracks cost per wear. The metric we watch is the share of a wardrobe actually worn: when people can see everything they own, unworn pieces become visible, and the next purchase is weighed against them.
The operational lesson transfers well beyond fashion: waste falls fastest when stock is visible, not when buying rules get stricter.
Zhandra MattioliFounder & Creative Director , Oh Lola SwimwearTransitioning to a digital Made-to-Order (MTO) production queue paired with computer-aided nesting software was our most impactful resource management shift.
In swimwear and apparel manufacturing, holding bulk pre-made inventory across various sizes leads directly to unsold goods and discarded materials. To solve this, we replaced batch manufacturing with a custom on-demand workflow directly connected to our e-commerce platform. Pieces are cut and sewn only after a verified customer order is completed, using digital pattern-nesting algorithms that arrange garment pieces to maximize every yard of fabric.
The most dramatic improvements showed up across two key metrics:
Unsold Inventory / Deadstock (100% Reduction): Because we only produce garments that have already been purchased, our finished-goods deadstock dropped to zero. Material Scrap Reduction (28% Improvement): Digital nesting laid out patterns far tighter than manual marking ever could, significantly lowering offcut textile waste in our cutting room.
This shift lowered overhead and storage demands while aligning our operations with low-waste, sustainable manufacturing.
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