Your one platform for Store ChecklistsPhoto AuditsVM ExecutionStore VisitsTickets and Fixes

BorentisOps is a store operations platform for brands in India that run their own showrooms, exclusive brand outlets and franchised stores to a brand standard. It puts opening and closing checklists, scored audits, visual merchandising checks, tickets, approvals, broadcasts, documents, training and daily store data on the store phone. Every checklist item asks for a live photo and an audit question. Drishti, the visual AI, scores the photo against the docket in seconds and raises a ticket for the miss. Managers get role dashboards and a 19:30 digest. The operations score is read next to the sales-conversation score from Borentis Floor, so a store is judged on how it runs and how it sells, on one card.

Built for: automobile and two-wheeler showrooms, telecom brand stores, consumer electronics, apparel, footwear, jewellery, furniture, beauty and every category that owns the store. Not for: multi-brand general trade shelves; no facings, planograms or share-of-shelf checks by design. Runs on: Android and iOS, offline first, in Hindi, English and Hinglish, with web dashboards for area, region and HQ. Priced: per store per month, not per user.

No. Borentis is a retail conversation intelligence platform built for Indian retail floors: Borentis Floor captures and scores every in-store sales conversation with the customer's consent. BorentisOps is the store operations half of the platform, built so that the operations score (checklists, audits, visual merchandising) can be read next to the selling score on one card per store. The category is explained at borentis.com/learn/what-is-retail-conversation-intelligence/.

A retail store audit app replaces the clipboard and the WhatsApp photo with a scored checklist on a phone: each checkpoint is a question with a live photo, a score and, when it fails, a ticket with an owner and a deadline. BorentisOps is a store audit app for showrooms and exclusive brand outlets, with the audit photo verified by AI and the audit score read next to the store's selling score.

It compares a live photo of the window, the floor, the display cars or the demo units with the docket or display standard for that store format and returns a compliance score with the misses marked: a mannequin not dressed to the docket, a campaign standee missing, a display car unpriced, signage unlit. It is not shelf or planogram analytics for general trade.

Yes. Franchisees and dealer principals run the same checklists to the brand standard, with hierarchy and role scoping so a dealer sees only their own outlets while the brand sees the network. Pricing is per store, so every advisor in a franchised outlet is on the app.

Yes. BorentisOps runs on its own as the store operations platform. Adding Borentis Floor, which captures and scores the sales conversation on the same phone, is what puts the selling score next to the operations score on one store card. Most brands start with one and add the other within the pilot.

BorentisOps is a store operations platform for brands that run their own showrooms and exclusive brand outlets in India. It runs checklists, audits, visual merchandising checks, tickets, approvals, broadcasts, training and documents on the store phone, verifies photo evidence with AI, and reads every store's execution next to its sales conversations captured by Borentis Floor.

No. BorentisOps is built for own showrooms and exclusive brand outlets: automobile, two-wheeler, telecom, consumer durables, apparel, footwear, jewellery, furniture, beauty and similar formats. The checks are about the facade, the window, the floor, the display units, the billing counter and the team, not about shelf facings in a general trade store.

On the operations modules the four are comparable. The difference is the join: Borentis also captures and scores the sales conversation, so a store's operations score and selling score sit on one card. A store that passes every audit but loses conversations is treated as a coaching problem rather than a display problem. A full comparison is in the Learn section.

No. The store team takes a photo inside the app. Drishti, the visual AI, compares it with the docket or display standard for that store format and returns a score with the misses marked in seconds. Fixed cameras are not required. Camera-based footfall and visit signals are a separate roadmap item.

Photos are taken inside the app, not uploaded from the gallery, and carry the device time and GPS position. Checklists open only in their scheduled window and at the assigned store. An audit trail records every submission and edit.

Yes. Checklists, photos and tickets complete without signal and sync when connectivity returns. Store Wi-Fi is not a prerequisite.

Yes. The builder is no-code: sections, photo fields, yes-or-no and scored audit questions, conditions and approval steps. Most brands start from the templates for their category and edit.

A pilot of ten stores is typically live within the first month, using your templates and hierarchy. Rollout then proceeds region by region. Pricing is per store per month, not per user, and depends on modules and store count.