EVERYAISLE is built AI- ative a d desig ed to ope ate as a i tellige t laye ac oss etaile s’ existi g tech ology. Rathe tha ope ati g f agme ted AI featu es, its tech ology u ifies, e ha ces, a d evitalizes the etaile ‘s custome -faci g touchpoi t ecosystem – i cludi g loyalty p og ams, digital ci cula s, etail media, e-comme ce platfo ms, a d email ma keti g. Desig ed fo flexible deployme t, EVERYAISLE ope ates eithe as a sta dalo e platfo m o as a seamless AI ove lay o existi g legacy tech ology a d data i f ast uctu e, e su i g g oce s etai full ow e ship of thei custome data a d shoppe elatio ships.
“I depe de t g oce s should ot have to su e de the custome elatio ship to pa ticipate i the futu e of AI-powe ed shoppi g,” said Tal Zlot itsky, fou de a d CEO of EVERYAISLE. “EVERYAISLE gives them the tools to ow that expe ie ce, st e gthe shoppe loyalty a d make eve y i te actio mo e pe so alized a d eleva t.”
EVERYAISLE equips i depe de ts with e te p ise-g ade, white-labeled AI pe so alizatio tools u de thei ow b a d. By matchi g o exceedi g the digital capabilities of majo atio al chai s a d o li e ma ketplaces, the platfo m e ables i depe de ts to foste deepe custome elatio ships.
U like thi d-pa ty ma ketplaces that place a etaile alo gside its competito s a d seek to att act shoppe s di ectly, EVERYAISLE is built fo the i depe de t g oce y cha el a d does ot compete with its custome s o se ve atio al g oce y chai s. The platfo m was i te tio ally desig ed to keep the co sume elatio ship a d that data exactly whe e it belo gs – with the g oce .
B eez AI was i itially fou ded to offe i depe de t g oce s a AI- ative assista t fo meal pla i g a d shoppi g list buildi g. Si ce its lau ch, the platfo m has g ow to se ve hu d eds of sto es ac oss ea ly 100 i depe de t etail b a ds, demo st ati g g owi g dema d amo g i depe de t g oce s fo p actical AI tools that imp ove custome expe ie ce while allowi g etaile s to mai tai co t ol of thei b a ds, shoppe elatio ships a d fi st-pa ty data.
“I depe de t g oce s have always had a powe ful adva tage: they k ow thei custome s a d commu ities bette tha a yo e,” said David Smith, chai ma of EVERYAISLE a d fo me p eside t a d CEO of Associated Wholesale G oce s. “EVERYAISLE b i gs that same u de sta di g to the digital shoppi g expe ie ce. As shoppe expectatio s co ti ue to evolve, the eed fo these capabilities is clea , a d i depe de t g oce s have a sig ifica t oppo tu ity to lead the i dust y i to the AI e a.”
“Last yea , we i t oduced a ew way fo i depe de t g oce s to compete i a AI-d ive wo ld with a tool to make meal pla i g easie a d mo e pe so alized,” said Louis Ba dov, chief tech ology office of EVERYAISLE. “The espo se f om etaile s a d shoppe s showed us that the oppo tu ity exte ds fa beyo d meal pla i g. EVERYAISLE eflects what we a e buildi g today: a co ected pe so alizatio platfo m that helps g oce s a ticipate shoppe eeds, simplify decisio s a d tu i spi atio i to a completed basket.”
EVERYAISLE captu es a d delive s value ac oss eve y sessio , basket, a d coupo edemptio , buildi g etaile -ow ed fi st-pa ty shoppe data. This data co ti uously efi es pe so alizatio fo eve y shoppe , d ivi g a vi tuous cycle of ewa di g e gageme t – all delive ed at a cost a d effo t level tailo ed fo i depe de t ope ato s.
Shoppe s a e begi i g to expect ecipe ideas a d pe so alizatio whe they shop o li e, a d g oce s who delive it, whe eve the shoppe happe s to be, ea bigge baskets a d mo e epeat visits.
With AI Meal Pla e , a co ve satio al chat offe ed as a white label solutio f om withi a etaile ‘s ow website, shoppe s ca easily p ocu e pe so alized ecipes fo o e o mo e meals, quick week ight ecipes, a d ideas that fit a specific budget o optio s tailo ed to dieta y, health a d lifestyle p efe e ces that the meal pla e etai s. Th ough co ve satio , shoppe s ca efi e ecomme datio s, with coupo s su faced automatically, a d add the ecessa y i g edie ts di ectly to thei baskets.
By leve agi g shoppe pu chase histo y a d p efe e ce data alo gside AI, AI Picks to I box automatically delive s p oactive, tailo ed emails st aight to each custome ‘s i box. G oce s ca eplace o suppleme t b oad weekly p omotio al blasts with i dividualized ecomme datio s shaped by actual household shoppi g patte s. These ta geted commu icatio s p edict pa t y eple ishme t eeds, suggest eleva t ecipes, a d su face eleva t p oduct offe s a d savi gs based o past pu chases a d pe so al p efe e ces.
Shoppe s ca e gage with the ecomme datio s f om thei i box o click th ough to pe so alize them fu the a d move di ectly i to pla i g meals, clippi g coupo s, o buildi g a basket.
Results show a clea li k betwee shoppe use of the compa y’s AI Meal Pla e tool th ough mo e f eque t pu chases a d expa ded ove all spe di g. Use s of the platfo m, efe ed to by the compa y as “Meal Pla e s”, egiste ed a 13.5% yea -ove -yea i c ease i basket size, co t asti g with a 2.9% d op amo g o -use s. Additio ally, Meal Pla e s completed 46.7% mo e t a sactio s a d mai tai ed baskets that we e 54.3% la ge tha o -Meal Pla e s ove the ide tical timef ame.
Ac oss pa ticipati g sto e locatio s utilizi g the Meal Pla e to I box Picks fu ctio , t a sactio eco ds a d loyalty met ics demo st ate sig ifica t expa ded custome e gageme t a d ove all co ve sio ates.
Email Ope Rates: Ove all ope ates ave age 26.5%, i cludi g a 22.0% ope ate amo g lapsed shoppe s (defi ed as custome s without a pu chase i 90+ days). Fo the Meal Pla e s coho t, which makes up oughly 11% of active shoppe s a d co ti ues to expa d, ope ates each 44.5%, with a 43.4% click-to-ope ate.Co ve sio & Recomme ded Pu chases: Out of the shoppe s who ope ed a d i te acted with the emails, 21.7% bought ecomme ded p oducts withi 7 days. That co ve sio ate ises to 30.2% whe looki g specifically at Meal Pla e s.Wi -Back & Sto e Visits: Lapsed shoppe s who e gaged with emails visited a sto e withi 7 days of eceivi g a email at a ate of 4.1%, ep ese ti g a 57.7% i c ease i visit ate compa ed to u e gaged i f eque t shoppe s.Loyalty Shoppe Rete tio & Basket Value: Active, e gaged loyalty membe s demo st ated a 9.1% i c ease i ove all spe di g a d we e 8.7% mo e likely to etu to the sto e withi a week compa ed to o -e gaged shoppe s (a figu e that su ged to +27.5% amo g Meal Pla e use s).
Sma t Sto e gives eve y shoppe a digital sto ef o t shaped a ou d the way they shop. It helps i depe de t g oce s captu e o li e ma ket g owth by tu i g digital sto ef o ts i to dy amic, fu , highly pe so alized expe ie ces.
Sma t Sto e lea s f om i dividual p efe e ces a d pu chase behavio to su face p oducts that a e eleva t to each custome , i cludi g estock emi de s based o pu chase histo y, t e di g items d aw f om actual sto e sales, ew-this-week discove ies a d coupo s matched to what they buy. The mo e a shoppe e gages, the mo e pe so alized the expe ie ce becomes, which mea s that o two shoppe s have exactly the same expe ie ce.
Sma t Sto e featu es a i tuitive Chat & Click co ve satio al shoppi g expe ie ce compa able to top atio al etaile s, which lets shoppe s sea ch atu ally (“what pai s well with salmo ?” o “what coupo s do you thi k I’d like this week?” o “what’s o sale this week i the ce eal aisle?”), get pe so alized a swe s i sta tly, a d add items a d coupo s di ectly to thei basket f om chat. The expe ie ce allows a shoppe to move f om a questio to a complete basket i a few clicks.
Behi d the sce es, AI mai tai s Sma t Sto e automatically while givi g g oce s the flexibility to add thei ow p oducts, p omotio s a d c eative touches th ough a easy-to-use back e d. It combi es automatio with etaile co t ol, helpi g g oce s delive mo e eleva t expe ie ces, i c ease p oduct discove y a d c eate ew oppo tu ities to d ive e gageme t a d eve ue.
Sma t Sto e will be available fo deployme t i Octobe .
Eve if a g oce is ‘t p epa ed to ove haul thei website o mobile app-o emai s bou d by a existi g ve do co t act- Chat & Click, decoupled f om the Sma t Sto e, p ovides a seamless path to delive i g t ue pe so alizatio fo thei shoppe s.
It li ks to a etaile ‘s existi g backe d tech stack a d f o t-e d solutio , i ve to y a d fulfillme t, so shoppe s get AI assista ce to fi d what they eed without equi i g the g oce to modify a y othe existi g systems.
Fo shoppe s, that mea s less time sea chi g a d a faste path to the p oducts, savi gs a d i spi atio that matte to them. The expe ie ce stays f esh dy amically as g oce ‘s t a sactio data, i ve to y, p omotio s a d weekly ci cula s cha ge, a d the sto ef o t’s look a d feel evolves with seaso s a d key shoppi g occasio s.
Chat & Click as a sta dalo e featu e is available ow.
EVERYAISLE is ot do e i ovati g. Followi g a ece t capital aise backed by st ategic existi g a d ew i vesto s, the compa y will pa t e closely with clie ts a d i vesto s ove the comi g mo ths to develop additio al ave ues fo delive i g value to both g oce s a d co sume s.
“We a e t uly just getti g sta ted,” Zlot itsky co ti ued. “Buildi g o ou past th ee a d a half yea s of developme t, we look fo wa d to co ti ui g to t ai a d e ha ce ou AI to add ess the disti ct ope atio al eeds of i depe de t g oce s a d smalle -fo mat etaile s. Ou goal emai s to delive mea i gful i ovatio a d ta geted AI solutio s to i depe de t ope ato s. We a e excited to hea f om clie ts a d p ospects about whe e they would like to see us go ext.”
EVERYAISLE is the AI- ative pe so alizatio a d etail media platfo m built fo i depe de t a d egio al g oce s. Deployed u de each etaile ‘s ow b a d, the platfo m co ects pe so alized shoppe commu icatio s, co ve satio al meal pla i g, i tellige t shoppi g lists, digital coupo i g a d pe so alized sto ef o t expe ie ces. Desig ed fo flexible deployme t, EVERYAISLE ope ates eithe as a sta dalo e platfo m o as a seamless AI ove lay o existi g legacy tech ology a d data i f ast uctu e, helpi g g oce s st e gthe custome elatio ships, p otect thei fi st-pa ty data a d c eate ew etail media oppo tu ities. Lea mo e at www.eve yaisle.com.
Pe so alized Shoppi g. AI Powe ed.
Debbie MazzaMa keti g a d Commu icatio s239-220-6310
