Twenty published case studies from our technology partners. Filter by the solution you’re considering.
Trailer Loading & Unloading
Averitt
Freight & 3PL
Challenge: Manual transloading of 2,000–3,000 floor-loaded containers a year, with 12-hour unload shifts and back-injury risk.
- 12 h → 8 hunload shift
- 2×cartons per hour
- 0lost-time injuries from unloading since start-up
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Trailer Loading & Unloading
LCBO
Liquor retail, Ontario
Challenge: Co-developed the Destuff-it with its manufacturer in 2013 to cut repetitive-strain and back injuries in receiving.
- ~9 moreturn on investment
- 82%fewer lost-time accidents over three years, together with training and ergonomics programs
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Trailer Loading & Unloading
Frogg Toggs
Outdoor apparel
Challenge: Ladder and gravity-roller unloading took 2–3 hours per container and pulled 8–9 people off other work.
- 50–75%faster container unloads
- 10–16.5 hlabour saved per trailer
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Trailer Loading & Unloading
National food retailer
Food retail
Challenge: High-volume receiving of food cases from floor-loaded trailers.
- +127%cases per hour, from 677 to 1,540
- −56%labour hours per trailer
- <9 moreturn on investment
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Trailer Loading & Unloading
Canadian general-merchandise retailer
Retail distribution, 488 stores
Challenge: Side-by-side trial of manual unloading against a Destuff-it on the same containers.
- 17 h → 5 hto unload a container
- 142 → 480cases per hour
- $403saved per container
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Trailer Loading & Unloading
Last-mile delivery carrier
Parcel delivery
Challenge: Trailer turns at the dock were slowing outbound routes.
- 2.5 h → 1.5 htrailer turn time
- 3 → 2people per crew
- 6 mopayback; a second unit followed
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Trailer Loading & Unloading
Wine & spirits distributor
Beverage distribution
Challenge: 1,920 containers a year of fragile wine cases weighing up to 40 lb.
- 2 → 1people per container
- 4 → 1.77labour hours per container
- $121Ksaved per year
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Trailer Loading & Unloading
Global apparel retailer
Retail distribution centre
Challenge: Needed 20% more receiving capacity without adding labour.
- +25%receiving productivity, against a 20% target
- 0added labour; repeated at a second DC
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Trailer Loading & Unloading
Retail outbound DC, Dallas
Retail distribution
Challenge: Loading many outbound doors with a small team.
- 4dock doors handled by a two-person team with 20 telescopic conveyors
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Trailer Loading & Unloading
Webstaurant Store
E-commerce
Challenge: Sorting inbound container freight quickly and accurately.
- 99%sort accuracy
- ~1.5 hsaved per container
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Goods-to-Person Picking
PinAcle Stainless Steel
Industrial distribution, Toronto & Montreal
Challenge: Fittings picked from shelving with frequent errors and months of training for new staff.
- 75% → 99%picking accuracy
- 6 mo → 1 wkoperator training
- 5–7extra hires avoided per location
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Goods-to-Person Picking
Outset Media
Games & puzzles, Brampton ON
Challenge: Direct-to-consumer growth with no room left in the building.
- 4,000+sq ft of floor space saved
- 3×pick rate for one picker
- ~5 minlearning curve
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Goods-to-Person Picking
Subaru of New England
Automotive parts distribution
Challenge: Old horizontal carousels forced pickers onto ladders.
- 17,722sq ft of storage on a 958 sq ft footprint
- 1,600+order lines a day
- 0ladders: every pick at an ergonomic height
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Goods-to-Person Picking
Kuehne + Nagel
3PL, France
Challenge: Small-parts storage spread across shelving in a contract-logistics site.
- +100%picking productivity
- 700 m²of storage on a 40 m² footprint
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Goods-to-Person Picking
Dassault Falcon Jet
Aerospace parts, New Jersey
Challenge: Technicians spent minutes searching for each of 20,000 parts.
- 5 min → <1 minto find a part
- 20,000parts stored in 359 sq ft
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AGVs & AMRs
3PL warehouse
Third-party logistics, 26,000 m²
Challenge: Manual pallet transfers limited throughput and accuracy.
- 3×material-transfer efficiency
- >98%delivery accuracy
- −50%deployment time with marker-free 3D laser navigation
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AGVs & AMRs
Engine-component manufacturer
Manufacturing
Challenge: Pallet moves between production and storage tied up forklift drivers.
- +30%transfer efficiency with autonomous pallet trucks
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Optimization Software
UK food & beverage brand
Distribution centre with ambient, chilled, and frozen zones
Challenge: Fast movers scattered across the building drove up picker travel.
- −22%travel per picker
- +12%picking productivity
- 3 moreturn on investment
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Optimization Software
European automotive manufacturer
Parts distribution centre, 50,000+ SKUs
Challenge: A huge SKU range with picking distance and strain growing every year.
- −42%picking distance
- −15%labour cost
- −20%repetitive-strain injuries
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Optimization Software
UK home-improvement retailer
National distribution centre
Challenge: Needed more peak throughput without new systems or staff.
- +13.5%throughput, with no system or labour changes
- −14%locations per pick route
- 3 moreturn on investment
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