Industries

Built first for the warehouses and distribution centers that keep supply chains moving, with the same vision platform ready for other industries.

Where the robot fits best

Large, high-bay sites with a lot to count

The platform is built for distribution centers and warehouses with tall racks. These are the sites where a manual count takes longest, closes the most aisles, and puts the most people at height.

200,000+square feet, a typical site
25,000+pallet positions, a typical site

Industries

Different buildings, the same need for a count they can trust

Consumer packaged goods

High SKU counts, fast turns, and strict retailer requirements. We count every position and flag damaged loads before they reach a customer’s dock.

In production with a global CPG company.

Where it helps

  • Full counts without closing aisles
  • Damage caught before shipping
  • Fewer retailer rejections
  • An audit-ready photo record

Food and beverage

Seasonal peaks, date-sensitive stock, and stretch-wrapped loads. Vision AI checks film, moisture, and case condition on every pallet it counts.

In production with a leading food manufacturer, across 5 distribution centers.

Where it helps

  • Moisture and film damage flagged
  • Overnight counts during peak season
  • Fewer write-offs from hidden damage

3PL and logistics

Your clients want proof. Every position comes with a photo, so you can show what was in the rack and when.

In production with a regional 3PL.

Where it helps

  • Client-ready inventory reports
  • Evidence for claims and disputes
  • The same count method at every site

Retail and wholesale

Distribution centers that feed stores need records they can rely on. Accurate counts mean fewer stockouts, fewer emergency recounts, and better replenishment.

Where it helps

  • Higher record accuracy
  • Fewer stockouts and recounts
  • Visibility across every rack level

Agro-industrial

High-volume, seasonal stock in large warehouses. Counts run overnight without pulling people onto lifts during the busiest weeks.

In use with agro-industrial exporters.

Where it helps

  • Fast counts at season peaks
  • Condition checks on every pallet
  • Less overtime spent counting

Manufacturing

Finished-goods and materials warehouses, plus quality inspection on the production line with the same vision AI.

Where it helps

  • Finished goods counted overnight
  • Line-side stock that can be seen
  • Surface inspection on production lines

Also

Healthcare, kept as its own practice

Healthcare

Large volumes of data, changing regulation, and care measured by the patient’s experience are reshaping healthcare. Algo Labs has worked with healthcare stakeholders using machine learning and deep learning on the operational problems in front of them: clinical workflows, billing, claims, fraud signals, and the risk of hospital-acquired infection. We believe prevention and health promotion, supported by AI, matter to closing gaps in access.

A practice we keep alongside the warehouse platform, for hospitals, laboratories, insurers, clinicians, public agencies, and universities.

  • Clinical workflow and billing operations
  • Claims and fraud signals
  • Risk around hospital-acquired infection
  • Prevention and health promotion

Sectors

Where the conversation usually starts

  • Manufacturing
  • Agro-industry
  • Logistics
  • Warehousing
  • Healthcare

Where we operate

Mexico now, Texas next

In production

Argentina

Our home market. Robots and Smart Pallets are in daily use in enterprise distribution centers. Engineering is in Buenos Aires.

Mexico

Mexico now. We are working with operators in Mexico. This is the active commercial focus outside our home market.

United States

Texas next. Algo Labs in Dallas leads partnerships and early conversations. The robot is not available for operation in the United States yet.