Mega morning quantity hole, and subsequent promoting… Value looking forward to the calm down! Anticipating a bounce after the information out this morning detailing some thrilling new ventures they’re pursuing. Have in mind, we’re in mega oversold territory right here… 
LINK 2 NEW PR: https://www.businesswire.com/information/dwelling/20230217005009/en/ShiftPixy-Labs-Pronounces-Growth-of-Cellular-Meals-Ordering-Apps-That-Elevate-Buyer-Engagement-with-Reducing-Edge-Expertise
MIAMI–(BUSINESS WIRE)–ShiftPixy, Inc. (Nasdaq: PIXY) (“ShiftPixy” or “the Firm”), a Florida-based nationwide staffing enterprise which designs, manages, and sells entry to a disruptive, revolutionary platform that facilitates employment within the quickly rising Gig Financial system, right this moment introduced the event of ordering apps designed to raise buyer engagement with Digital Meals Manufacturers (DFBs) – online-only eating places that ship to the shopper doorstep. The ShiftPixy Labs apps can be uniquely branded for every DFB, and thru the usage of cutting-edge expertise will permit clients with just some clicks to simply browse menus, customise orders, add particular directions, monitor their supply standing in actual time, pay for his or her meals and earn loyalty factors all from their cellular gadgets. The brand new apps can be obtainable for obtain on each iOS and Android gadgets. For added on-line viewing of our app growth video, please go to our YouTube channel right here.
“What units our apps aside from the competitors is the usage of synthetic intelligence and machine studying to personalize the shopper expertise,” stated ShiftPixy Co-Founder and CEO, Scott Absher. “By analyzing previous ordering historical past and preferences, and thru a brief chat with our model characters inside the app, the AI bot will current a number of recommended menu gadgets tailor-made particularly to every particular person buyer together with obtainable offers with every order.”
Every DFB’s particular person app could have its personal distinctive model identification and harness a robust loyalty program, such that every time a buyer locations an order, a portal to a “mini recreation” can be activated for 40 minutes, permitting the shopper to play and earn loyalty factors that may be redeemed for quite a lot of rewards, reminiscent of reductions on future orders, free menu gadgets, early entry to new menu gadgets and promotions, and merchandise.
Importantly, all ShiftPixy Labs Digital Meals Manufacturers will embrace first-party (restaurant-branded) supply to make sure all the cycle of buyer engagement is protected and constant, and clients will be capable of attain ShiftPixy’s assist staff through the chatbot at any time after an order has been positioned.
Mr. Absher added, “Our cellular expertise focus has been on a whole end-to-end buyer expertise. Beginning with buyer acquisition, to meals ordering, to supply, to a gamified deal with put up order, resulting in buyer loyalty and re-marketing. We consider that our new meals ordering apps will have interaction clients by way of a private digital expertise that may maintain them model linked.” Mr. Absher continued by saying that “Nice tech solely succeeds whether it is linked to nice merchandise. We predict that our many months of market R&D and delicacies preparation even right down to sustainable packaging design will delight our goal clients for our portfolio of manufacturers.”
About ShiftPixy
ShiftPixy is a disruptive human capital providers enterprise, revolutionizing employment within the Gig Financial system by delivering a next-gen platform for workforce administration that helps companies with shift-based staff navigate regulatory mandates, decrease administrative burdens and higher join with a ready-for-hire workforce. With experience rooted in administration’s greater than 25 years of staff’ compensation and compliance packages expertise, ShiftPixy provides a wanted layer for addressing compliance and continued calls for for equitable employment practices within the rising Gig Financial system.
Ahead-Trying Statements
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