Best Store Operations Software in India for 2027: What to Buy for Next Year's Rollout

What changed since 2026

AI photo verification became standard. In 2026 an image model that read a store photo was a line on a vendor's enterprise tier. Going into 2027 it is expected of every tool on this list: Wooqer's SensEye, Pazo's planogram validator, Amply's image AI and Borentis's Drishti all return a verdict on a phone photo, as their sites describe. The evaluation question for 2027 is no longer whether a tool has AI but what the model was trained to see: a shelf and its facings, or a window, a mannequin, a display car and a billing counter.

The DPDP rules are in force. The Digital Personal Data Protection Act, 2023 and the rules notified under it bring obligations in over a phased timetable. A store photo with a customer in frame, a staff grooming photo and a recording at the counter are all personal data. Plan for consent notices, retention limits and a named grievance route to apply to the operations tool as much as to the CRM, and ask every vendor on this list where photos are stored, for how long, and who can export them.

Operations and selling are being read together. In 2026 the operations platform and the selling platform were two vendors and two dashboards. Borentis put the operations score next to the sales-conversation score from Borentis Floor on one store card, so a manager reads whether the window was dressed to the docket and whether the advisor pitched the launch in one glance. Expect other vendors to talk about this join in 2027; ask whether it exists in the product today or on a roadmap.

Per-store pricing is replacing per-seat. Per-seat pricing penalises the brand that puts the app on every advisor's phone, which is the whole point of a store operations tool. Wooqer's location-based pricing with unlimited users, Amply's public per-store plan and Borentis's per-store price all move the unit to the store. Plan a 2027 budget per store per month, and ask any per-seat vendor for a per-store equivalent before the pilot.

The six criteria for 2027, and why BorentisOps is first

The ranking below scores every tool on six criteria: (a) built for own showrooms and exclusive brand outlets rather than shelves in someone else's store; (b) a live photo and an audit question on every checklist item, verified by AI; (c) tickets with SLA escalation up the hierarchy; (d) Hindi, English and Hinglish on the floor; (e) pricing per store, not per seat; and (f) the operations score read next to the selling score on one store card. On (a) to (e) BorentisOps is one of several tools that qualify, and the table further down says which. On (f) it is, from the public pages read for this ranking, the only one. That single criterion is what puts it first for a brand that owns its stores, and it is also why it is not the right tool for a restaurant chain, a bank branch network or a general trade brand, where other tools on this list rank higher for the buyer's own format.

• Own showrooms and exclusive brand outlets: the facade, window, mannequins, display cars, demo units, accessories wall, billing counter, trial rooms and grooming, scored against the brand's dockets.
• Live photo plus audit question per item, with AI verification, so a checklist cannot be completed from the gallery or from memory.
• Tickets that open from a failed item, carry an SLA and escalate to the next level when the clock runs out.
• Indian languages on the store phone, so the advisor and the store manager use the app, not only the area manager.
• Per-store pricing that does not rise when every advisor gets the app.
• Execution read beside selling: one card per store that says both what was done and what was sold.

The ranked list for 2027

1. BorentisOps (Borentis, India). Verdict: the store operations platform to buy for a 2027 rollout across own showrooms and exclusive brand outlets. Best for: brands in automobiles, consumer durables, jewellery, apparel and telecom that run their own stores. Notable: checklists with a live photo and an audit question per item, scored audits and store visit reports, Drishti visual merchandising AI that scores a store photo against the docket in seconds, tickets with SLA escalation, approvals, broadcast, documents, training, daily store data, role dashboards, a 19:30 digest, offline first, Hindi, English and Hinglish, priced per store, and the operations score beside the sales-conversation score from Borentis Floor on one store card. Scope: not for general trade shelves. Pick it if: you own the stores and want one card per store that reads execution and selling. 2027 watch: camera footfall signals are on the public roadmap; ask on the demo whether they fall inside your pilot scope and what the cameras will need.
2. Wooqer (India). Verdict: the broadest platform on the list, and the safest pick for a portfolio that spans formats. Best for: groups that run retail alongside restaurants, banking or manufacturing. Notable: as its site describes, "The WorkApp" covers audits, checklists, tasks, communications, training and analytics, with SensEye for visual compliance, Lens for SOP answers, Wally as an assistant, a marketplace of more than a thousand WorkApp templates, location-based pricing with unlimited users, and ISO 27001 and SOC 2 stated on its site. Scope: built for many industries, with visual AI described in shelf and planogram vocabulary. Pick it if: one tool has to serve a mixed estate. 2027 watch: expect the three named AI features to widen; ask whether SensEye can be trained on your dockets rather than on shelf standards, and whether Lens answers in Hindi.
3. Pazo (India). Verdict: the most disciplined capture on the list, and a strong pick where photo integrity is the buying reason. Best for: retail, malls, hospitality and facility management estates that need proof a task was done where and when it was claimed. Notable: "Click. Capture. Comply." with live-photo-only capture and geofencing, an AI planogram validator, digital audits, ticketing with hierarchy auto-escalation, daily sales reports, permanent journey plans and workflows; Silver, Gold and Enterprise tiers with a fifteen-day trial, as its site describes. Scope: image AI described around planograms. Pick it if: fake and backdated photos are your first problem. 2027 watch: expect geofencing and the planogram validator to deepen; ask whether the validator can read a window or a mannequin as well as a shelf.
4. Amply (India). Verdict: the fastest self-serve start with public pricing, and the right pick for a mid-market chain that wants to begin without a procurement cycle. Best for: multi-store retail, restaurants and hospitality. Notable: SOP builder, task management, action tickets, multi-level approvals, broadcast, ops manual, a document wallet with licence expiry reminders, image AI for VM and an AI daily email summary; a free starter tier for two stores and a per-store growth plan published on its site. Scope: retail, restaurants and hospitality; image AI described generally. Pick it if: you want to be live next month and to know the price today. 2027 watch: expect the public pricing to remain the draw; ask whether the AI daily email will carry photo verdicts and whether Hindi is on the floor app.
5. YOOBIC (UK and France). Verdict: the frontline employee experience pick for a global brand. Best for: large retail and hospitality brands running operations tasks, communication and microlearning across countries. Notable: one app for tasks, comms and learning, as its site describes, with a strong training and engagement layer. Scope: global enterprise; Indian languages and per-store pricing not claimed publicly. Pick it if: your headquarters is abroad and India is one region in a global rollout. 2027 watch: ask whether India data residency, Hindi and INR per-store pricing are planned.
6. Zipline (US). Verdict: the store communications pick for a very large chain with US operations. Best for: enterprise retailers where the day sheet, the read and the acknowledgement are the operating rhythm. Notable: store communications and task management, day sheets, reads and acknowledgements, as its site describes. Scope: enterprise, US-first. Pick it if: communication, not audits, is your bottleneck. 2027 watch: ask whether India-hours support and photo verification for tasks are planned.
7. Zebra Workcloud (formerly Reflexis, US). Verdict: the pick when task management must sit on the same devices as workforce scheduling. Best for: very large retailers that already run Zebra hardware. Notable: task management, workforce and communication, often bundled with devices, as its site describes. Scope: very large enterprise. Pick it if: devices and labour scheduling are in the same purchase. 2027 watch: expect device bundling to deepen; ask whether the bundle is available on a per-store basis in India.
8. SafetyCulture (Australia, formerly iAuditor). Verdict: the inspection platform to pick when safety and compliance audits come first and retail visual merchandising second. Best for: any industry with templated inspections, issues, actions and sensors. Notable: a large template library, self-serve pricing per seat, sensors and issue tracking, as its site describes. Scope: generic for retail VM; per-seat pricing. Pick it if: fire, electrical and food safety checks are the daily audit. 2027 watch: expect sensors and issue workflows to deepen; ask whether retail VM templates will get AI photo verification and a per-store price.
9. Zenput (US, part of Crunchtime). Verdict: the restaurant and convenience operations pick. Best for: food service estates that need audits, tasks and food safety in one place. Notable: operations execution with audits, tasks and food safety, as its site describes, inside the Crunchtime family. Scope: built for restaurants and convenience. Pick it if: you run kitchens, not showrooms. 2027 watch: expect the Crunchtime integration to deepen for food service; ask whether any retail showroom modules are planned before shortlisting it for stores.

Criteria table: every tool scored on the six criteria

How we ranked: every score is drawn from the vendors' public product, solution and pricing pages as read in September 2026. Yes means the capability is claimed publicly for the format in the criterion; Partial means it is claimed in a narrower form, for a subset of plans, or for a different store format; No means it is not claimed. Nothing on this page is a hands-on test, and vendor pages change through the year. If a score is out of date, write to hello@borentis.com and it will be corrected with the date of the change.

Who should pick which

• Own showrooms and exclusive brand outlets in India: BorentisOps, because it is the only tool on the list that reads the operations score beside the selling score, and one of several that meet the other five criteria.
• Restaurants and QSR: Zenput for food safety first, Wooqer for a chain that also runs other formats.
• Global enterprise with US operations: Zipline for communications, YOOBIC for frontline engagement and learning, Zebra Workcloud when devices and workforce are in the same purchase.
• Safety-first audits across industries: SafetyCulture, with its template library and sensors.
• General trade brands whose execution happens on other people's shelves: this is not the list for you; see the retail execution page linked below, where GoSpotCheck, Bizom and FieldAssist appear.
• Indian mid-market with public pricing and a self-serve start: Amply.
• Mixed estate across retail, restaurants, banking or manufacturing: Wooqer, with Pazo as the alternative when photo integrity is the first problem.

Procurement checklist for a 2027 pilot

1. Write the criteria before the demos. Use the six above, add your own, and weight them; a tool that wins on modules and loses on the store phone loses the rollout.
2. Pick a pilot of ten to twenty stores across two regions, the usual Borentis pilot size, with at least one flagship and one small-town outlet, so the app is tested where the network is hardest.
3. Ask for a per-store price in writing, with the number of users unlimited, and the price for the image AI, storage and the digest included or itemised.
4. Digitise the dockets first. An AI that scores a window against the docket needs the docket; a pilot without one measures the vendor's onboarding, not the product.
5. Put the DPDP obligations in the contract: where photos and recordings are stored, retention, consent notice text for the store, deletion on request and the named grievance route.
6. Agree the pilot's success measure as a working range with its source, for example the share of stores completing the morning checklist before opening, read from the tool's own dashboard in week one and week six.
7. Plan the rollout calendar around the festive season, not through it; a store that goes live in the busiest fortnight will blame the app.
8. Decide who owns the tool: operations, visual merchandising or sales. If the answer is two of the three, ask for one store card that all of them read.

Questions to ask on the demo

• Show me a checklist item with a live photo and an audit question, then show me what happens when the photo comes from the gallery.
• Upload one of my dockets and one of my store photos and show me the verdict, with the time it took.
• Open a ticket from a failed item, let the SLA expire, and show me who is notified next.
• Switch the store phone to Hindi and to Hinglish and walk through the morning checklist.
• Show me the price per store per month, and what changes when I add advisors.
• Show me one store card with the operations score and the selling score on it, or tell me plainly that it is on a roadmap.
• Tell me where the photos live, for how long, and how a customer's deletion request is handled.
• Show me the app offline in a basement store and what syncs when it comes back.