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Home Artificial Intelligence

Symbotic Announces Acquisition of ARMS Innovations, Advancing a New Era of Warehouse Operations Optimization

July 2, 2026
in Artificial Intelligence, GlobeNewswire, Web3
Reading Time: 10 mins read
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T a sactio expa ds Symbotic’s solutio f om automatio executio to full-scale, AI-powe ed ope atio al i tellige ce ac oss the e ti e wa ehouse ecosystem

U ifies automated systems a d huma wo kflows to e able seamless ope atio s i highly complex e vi o me ts with educed dow time a d imp oved pe fo ma ce

WILMINGTON, Mass., July 02, 2026 (GLOBE NEWSWIRE) — Symbotic I c. (Nasdaq: SYM), a leade i A.I.-e abled obotics tech ology fo the supply chai , today a ou ced the acquisitio of ARMS I ovatio s Ltd. (ARMS), a UK-based softwa e compa y specializi g i eal-time ope atio al i tellige ce solutio s fo complex automated wa ehouse e vi o me ts. The acquisitio ma ks a sig ifica t st ategic milesto e i Symbotic’s missio to t a sfo m supply chai ope atio s by adva ci g a ew i dust y catego y: Wa ehouse Ope atio s Optimizatio .

By i teg ati g ARMS’s adva ced softwa e capabilities, the Symbotic System will expa d beyo d i dust y-leadi g automatio i to a comp ehe sive, eal-time ope atio al solutio that u ifies a d optimizes eve y eleme t of wa ehouse pe fo ma ce – ac oss both automated systems a d huma wo kflows.

Adva ci g a New I dust y Catego yWith the additio of ARMS, Symbotic is spea headi g a ew i dust y catego y with a g eate scope tha t aditio al wa ehouse ma ageme t (WMS) o wa ehouse executio systems (WES): e te p ise-level Wa ehouse Ope atio s Optimizatio . The acquisitio will e able Symbotic to exte d its capabilities f om executi g automated tasks to ma agi g a d o chest ati g e ti e wa ehouse e vi o me ts. It expects the combi ed solutio to fu ctio as a t ue “ope atio al e vous system,” delive i g e d-to-e d visibility a d co t ol ac oss all activities, i cludi g p edicti g mai te a ce eeds, ide tifyi g dis uptio s i eal time, a d dy amically ma agi g complex wo kflows.

“By combi i g Symbotic’s automatio leade ship with ARMS’s p ove ope atio al i tellige ce softwa e, we a e taki g a majo step fo wa d i ou visio of delive i g a fully i teg ated, i tellige t supply chai platfo m,” said Rick Cohe , Chai ma a d CEO of Symbotic. “With this acquisitio , we ca help custome s accele ate the t a sfo matio of thei dist ibutio ce te s i to sma t, highly sy ch o ized ecosystems desig ed to maximize p oductivity a d uptime.”

AI-Powe ed O chest atio of People, Robots, a d Wo kflowsThe ARMS tech ology is a tested, p ove solutio desig ed to meet complex eal-wo ld ope atio al challe ges. ARMS’s softwa e i t oduces a powe ful laye of AI-d ive wa ehouse ope atio s o chest atio that seamlessly coo di ates people, obotics, a d wo kflows. The solutio dy amically matches tasks with the ight esou ces – whethe huma o machi e – based o skills, availability, a d ope atio al eeds.

The system ide tifies who is o -site, what skills they possess, a d whe e they a e eeded most. Whe issues a ise, the tech ology goes beyo d simple ale ts: it diag oses the p oblem, assig s the app op iate pe so el, o de s pa ts if eeded, a d ma ages the esolutio p ocess i eal time. This helps t a sfo m ope atio s f om eactive t oubleshooti g to sy ch o ized executio , e abli g custome s to optimize i dividual facilities a d – ultimately – to sta da dize ew levels of ope atio al excelle ce ac oss e ti e logistics etwo ks.

“ARMS was built to solve the ealities of complex automated wa ehouse e vi o me ts, with a focus o d ivi g co ti uous imp oveme t i custome s’ ope atio s while educi g costs,” said Walt Odisho, Chief Ma ufactu i g & Supply Chai Office at Symbotic. “We look fo wa d to scali g that p ove expe tise a d b i gi g fu the t a sfo mative capabilities to o ga izatio s wo ldwide.”

The acquisitio st e gthe s Symbotic’s ability to se ve highly complex e vi o me ts that dema d co ti uous visibility a d agile decisio -maki g, i cludi g mic o-fulfillme t ce te s a d floo -loaded i bou d logistics ope atio s. With the ARMS tech ology, Symbotic’s solutio will be positio ed to p ovide eal-time awa e ess of eve y c itical compo e t, e abli g ce t alized comma d ce te s to ma age the dema ds of today’s wa ehouse a d e-comme ce e vi o me ts at scale, a d with u p ecede ted p ecisio .

ABOUT SYMBOTICSymbotic is a automatio tech ology leade eimagi i g the supply chai with its e d-to-e d, A.I.-powe ed obotic a d softwa e platfo m. Symbotic ei ve ts the wa ehouse as a st ategic asset fo the wo ld’s la gest etail, wholesale, food & beve age, a d medical supply dist ibutio compa ies. Applyi g ext-ge e atio tech ology, high-de sity sto age a d machi e lea i g to solve today’s complex dist ibutio challe ges, Symbotic e ables compa ies to move goods with u matched speed, agility, accu acy a d efficie cy. As the backbo e of comme ce Symbotic t a sfo ms the flow of goods a d the eco omics of the supply chai fo its custome s. Fo mo e i fo matio , visit www.symbotic.com.

FORWARD-LOOKING STATEMENTSThis p ess elease co tai s fo wa d-looki g stateme ts withi the mea i g of the P ivate Secu ities Litigatio Refo m Act of 1995. Ge e ally, stateme ts that a e ot histo ical facts, i cludi g stateme ts co ce i g possible o assumed futu e actio s, busi ess st ategies, eve ts, backlog, o esults of ope atio s, a e fo wa d-looki g stateme ts. These stateme ts may be p eceded by, followed by o i clude the wo ds “will,” “believes,” “estimates,” “expects,” “p ojects,” “fo ecasts,” “may,” “should,” “seeks,” “pla s,” “scheduled,” “a ticipates,” o “i te ds” o simila exp essio s. These fo wa d-looki g stateme ts i clude, but a e ot limited to, stateme ts about Symbotic’s acquisitio of ARMS I ovatio s a d ew i dust y catego y, Wa ehouse Ope atio s Optimizatio . Such fo wa d-looki g stateme ts i volve isks a d u ce tai ties that may cause actual eve ts, esults o pe fo ma ce to diffe mate ially f om those i dicated by such stateme ts. Ce tai of these isks a e ide tified a d discussed i Symbotic’s A ual Repo t o Fo m 10-K filed with the U.S. Secu ities a d Excha ge Commissio (the “SEC”) o Novembe 24, 2025. These fo wa d-looki g stateme ts a e exp essed i good faith, a d Symbotic believes the e is a easo able basis fo them. Howeve , the e ca be o assu a ce that the eve ts, esults o t e ds ide tified i these fo wa d-looki g stateme ts will occu o be achieved. Fo wa d-looki g stateme ts speak o ly as of the date they a e made a d a e based o the beliefs, estimates, expectatio s a d opi io s of ma ageme t o that date. Symbotic is ot u de a y obligatio , a d exp essly disclaims a y obligatio to update, alte o othe wise evise a y fo wa d-looki g stateme t, whethe as a esult of ew i fo matio , futu e eve ts o othe wise, except as equi ed by law. Reade s should ca efully eview the stateme ts set fo th i the epo ts that Symbotic has filed o will file f om time to time with the SEC.

MEDIA CONTACT

Matt BuckleyVice P eside t, Commu icatio smediai qui y@symbotic.com

INVESTOR RELATIONS CONTACT

Cha lie A de so Vice P eside t, I vesto Relatio s & Co po ate Developme ti @symbotic.com

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