Onetsani Magalimoto Anu Monga Simudayamba Ndi Chotsani Malire Chawo Ndi AI
Sinthani zolemba zanu zamagalimoto ndi chida chochotsa maziko chamakono, chopangidwa kuti magalimoto anu azipezeka bwino ndikuwonjezera kugulitsa.
Sinthani Zolemba ZanuKukweza Chithunzi Cha Galimoto Mosavuta
Sungani maola ambiri a kusintha ndi chida chathu chochotsa maziko ndi AI. Chabwino pamagalimoto ambiri. Sungani zithunzi zanu zamagalimoto ndikuonera algorithm yathu yapamwamba yopanga zithunzi zoyera, zamaluso mphindi zochepa, kuwonetsa mizere yonse ndi mawonekedwe.
Pangani Zolemba Zakupsa Kwambiri
Mosavuta ikani magalimoto anu ku chirichonse. Onetsani magalimoto patsogolo pa mizinda yotchuka, malo owoneka bwino, kapena pamaziko ama studio aukatswiri. Pangani zolemba zanu kuwala ndi kulemba tcheru kwa ogula mwamsanga.
Zotsatira Zamaluso Zokwanira Kuchepetsa Baibulo Labwino
AI yathu yapamwamba imatsimikizira kuti zithunzi zamagalimoto anu zili ngati showroom. Pezani chotsani choyera, cholondola chomwe chimawonetsa magalimoto anu kwambiri. Ndizoyenera kulumikizana ndi makasitomala, kuwonjezera mawonedwe ndi kutumizirana mafunso ndi mayeso a magalimoto.
Pangani Zinthu Zotsatsa Zosangalatsa
Ndi maziko ochotsedwa, mosavuta pangani zithunzi zotsatsa zosangalatsa pa malonda anu. Pangani makampani a nyengo, zopereka zapadera, kapena onetsani magalimoto akuchita. Chida chathu chimaphatikizidwa mosavuta ndi ntchito yanu, ndipo mukhoza kupanga zithunzi zowoneka bwino zomwe zimayendetsa zochitika ndi zomwe zili pa intaneti.
Zida Zolimbikitsidwa kwa Ogulitsa Magalimoto
Mmene wogulitsa magalimoto wamng'ono adachepetsera nthawi yopanga zithunzi za malembali kuchokera ku sabata kupita ku tsiku
Wogulitsa magalimoto omwe agwiritsidwa ntchito kale wodzilamulira ku Mphepete-mwa-Mvula wa United States amasunga magalimoto 80 mpaka 120 panthawi imodzi. Iye amagulitsa pickups, sedans, ndi SUVs, ena okha amabwera ndi zithunzi zoyenerera, kapena cosmetic damage, kapena hostile yopanda zithunzi zabwino.
Manager wa dhilale adayamba kujambula magalimoto pa malo opaketwa, kumbuyo, pafupi ndi service bays, choncho zithunzi zonse zinali ndi malo akumbuyo osokoneza — service signs, magalimoto a makasitomala, mvula yonse. Iye adaopa kuti makasitomala saoneka kapena samakonda galimoto.
Inventory hits the website the same day it lands on the lot. The chithunzi workflow that yagwiritsidwa ntchito to take a sabata now fits into a single afternoon. lembali views are up because every car has a yoyera catalog shot in the same backdrop, and the kampani yogulitsa stopped paying for off-site reshoots when a galimoto moved to a different parking spot. The freelancer they yagwiritsidwa ntchito for cleanup moved to higher-value ntchito like the manager bio shots and the showroom interior.
"We yagwiritsidwa ntchito to wait a sabata for yoyera lembali zithunzi because the freelancer had to mask the chain-link fence out of every shot. Now I shoot the car wherever it parks, run twelve zithunzi through bulk, and the lembali goes live the same day."
"We move 200 magalimoto a sabata through auctions and every chithunzi needs a consistent backdrop so the wogula can compare across regions. Bulk kukonza onto a single grey backdrop means ogula in three states see the same look. Bid ukhondo went up the first mwezi."
"Our lot is in a city block with utility wires and signage in every frame. Cleaning that out and dropping each car onto a yofewa showroom backdrop made our Instagram look like a brand showroom, not a parking lot. Test-drive bookings off social are up sabata-over-sabata."
Picks that fit a kampani yogulitsa workflow
Common questions for dealerships
How well does the cutout handle chrome trim, alloy wheels, and reflective paint?
The default model handles solid body colours and matte trim cleanly. Chrome and polished alloys are where the brush refinement matters, especially around grilles and wheel spokes that gawiranani a tone with the malo akumbuyo. The realistic workflow is bulk-cut a full set of inventory zithunzi, then spend a miniti per car touching up the trim before exporting. For the showroom catalog grid this is roughly an order of magnitude faster than masking each shot from scratch.
Can we konzani a whole inventory rotation in one go without locking up the ofesi laptop?
The bulk wokonza processes zithunzi on the device that's running the browser. A 100-car rotation with twelve angles per car is around 1,200 zithunzi, which on a yamasiku ano laptop runs in the malo akumbuyo while you do other ntchito. The browser tab uses one CPU core and a few hundred megabytes of memory. There is no kwezani step for the default pipeline, so a flaky ofesi wifi will not slow it down.
Will the cleaned zithunzi look consistent across an inventory grid where ogula compare side by side?
If you pick one backdrop and run every galimoto through it, the inventory grid lines up. The wokonza saves the chosen backdrop as part of a brand kit, so the tsatira car you add to the lot uses the same colour, the same crop, and the same export kukula as the one you added six milungu ago. ogula scrolling the grid see the same showroom on every tile, which removes the visual noise that makes a lot look smaller than it is.
Get same-day lembali zithunzi for every car on the lot
sungani your showroom backdrop once, then bulk-konzani inventory rotations into a consistent catalog grid.