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We Automate e-Commerce!©
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NANITEC, INC

Fulfillment As A Service Technologies, LLC, (F.A.A.S.T.), headquartered in Phoenix, AZ. has developed and patented a fully robotic "pick-and-pack" system that can process SKUs of any shape, weight or size, whether in each, case or pallet forms.

By significantly lowering the cost of picking and packing, F.A.A.S.T. plans to become a distribution and fulfillment solution provider servicing brick-and-mortar as well as e-commerce retailers.

F.A.A.S.T.'s potential clients range in all sizes from order fulfillment to store replenishment, kitting for manufacturing, and supermarket home delivery services.

F.A.A.S.T.'s wholly owned distribution/fulfillment centers, strategically located around the country, will help clients realize store replenishment and e-commerce fulfillment efficiencies at lower cost by processing retailers's sales orders from their inventories in our fulfillment locations.

F.A.A.S.T. empowers retailers to offer fast, convenient and profitable "same-day" home delivery service to their costumers.

By Q3 2019, F.A.A.S.T. will demonstrate its robotic system to select retail companies that currently distribute to brick-and-mortar stores and/or fulfill on-line orders for their customers.

What´s new?

In Q4 2019, F.A.A.S.T. will introduce a new patent pending system for picking and packing groceries that will enable the supermarket and food retail industry to take advantage of opportunities brought by a new exclusive capability in "home delivery services"

F.A.A.S.T.'s leading edge software enables fast, low cost B2B distribution and B2C order fulfillment. The system robotically picks and packs "any" inventory item regardless of shape, size or weight.  

We were thinking of the ever increasing complexity and cost of e-commerce fulfillment and saw a business opportunity in creating a new robotic system to pick-and-pack the inventory from the rack and deliver completed orders to the shipping bay...

says Juan Uribe, inventor of the system

For more information or to schedule a demonstration

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