Best Retail Execution Software in India for 2027: Planning the Pilot and the Rollout

What changed in retail execution since 2026

The category split in two. "Retail execution software" in India has always covered two different jobs: executing on a retailer's shelf, which is a field-force problem, and executing in the brand's own store, which is a store operations problem. In 2026 buyers still searched one phrase for both. Going into 2027 the tools have separated: Bizom, FieldAssist and GoSpotCheck for the shelf, with distributor management and shelf photo recognition; BorentisOps, Wooqer, Pazo and Amply for the store, with checklists, docket-scored photos and tickets. Plan the 2027 evaluation for the job you have, and expect a vendor from the other side to be a poor fit however good the demo.

AI photo verification became standard on both sides. Shelf recognition on the general trade side and docket verification on the own-store side both return a verdict on a phone photo, as the vendors' sites describe. The 2027 question is what the model was trained to see: facings and share of shelf, or the facade, window, mannequins, display cars and demo units.

The DPDP rules apply to execution photos and recordings. A field photo of a retailer's counter with the retailer in frame, a showroom grooming photo and a recording at the billing counter are all personal data under the Digital Personal Data Protection Act, 2023 and the rules notified under it, which phase obligations in over 2026 and 2027. Plan for consent, retention and deletion in the pilot contract.

Execution is being read beside selling, and the pricing unit moved to the store. Borentis reads the operations score beside the sales-conversation score on one store card; expect other own-store vendors to discuss this join in 2027 and ask whether it is in the product. Wooqer, Amply and Borentis price on the location or the store, as their sites describe; plan a per-store budget and ask per-seat vendors for the equivalent.

The criteria for 2027, and why BorentisOps is first

Every tool is scored on six criteria: (a) built for own showrooms and exclusive brand outlets; (b) a live photo and an audit question on every item, verified by AI; (c) tickets with SLA escalation; (d) Hindi, English and Hinglish on the floor; (e) per-store pricing; and (f) execution read beside selling. BorentisOps is one of several tools that meet (a) to (e), and the table says which; on (f) it is, from public pages, the only one. The general trade tools score No on (a) by design, because they are built for a different job, and for that job they rank above every own-store tool on this page, including BorentisOps.

• Own store: the facade, window, mannequins, display cars, demo units, accessories wall, billing counter, trial rooms and grooming, scored against the docket, with the sales conversation captured on the same phone.
• General trade: the shelf, the planogram, facings and share of shelf, with beat plans, distributor orders and secondary sales; shelf vocabulary appears on this page only to describe that side.
• Both: a live photo, a question, a verdict, a ticket, in the field force's or the store's own language, priced per store or per user as the job demands.

The ranked list for 2027

1. BorentisOps (Borentis, India). Verdict: the retail execution platform to pilot in 2027 for own showrooms and exclusive brand outlets. Best for: brands in automobiles, 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 scoring 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, per-store pricing, 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 execution and selling on one card. 2027 watch: camera footfall signals are on the public roadmap; ask whether they fall in your pilot scope.
2. Wooqer (India). Verdict: the broadest own-store execution platform. Best for: mixed estates across retail, restaurants, banking and manufacturing. Notable: "The WorkApp" with audits, checklists, tasks, comms, training and analytics, SensEye visual AI, Lens and Wally, a template marketplace of more than a thousand WorkApps, location-based pricing with unlimited users, ISO 27001 and SOC 2 stated on its site. Scope: multi-industry; visual AI in shelf and planogram vocabulary. Pick it if: one platform must serve several formats. 2027 watch: ask whether SensEye trains on your dockets and whether the join to selling is planned.
3. Pazo (India). Verdict: the own-store execution tool with the strictest capture. Best for: retail, malls, hospitality and facility management. Notable: "Click. Capture. Comply.", live-photo-only capture with geofencing, an AI planogram validator, digital audits, ticketing with hierarchy auto-escalation, daily sales reports, journey plans and workflows, as its site describes; custom tiers with a fifteen-day trial. Scope: validator described around planograms. Pick it if: photo integrity is the first problem. 2027 watch: ask whether the validator will read a window and whether verdicts appear in Hindi.
4. Amply (India). Verdict: the own-store tool with public pricing and the fastest start. Best for: multi-store retail, restaurants and hospitality. Notable: SOP builder, task management, action tickets, multi-level approvals, broadcast, ops manual, document wallet with licence expiry, image AI for VM and an AI daily email summary; a free starter tier for two stores and a per-store plan on its site. Scope: retail, restaurants and hospitality. Pick it if: you want to pilot next month at a known price. 2027 watch: ask what the image AI is trained on and whether Hindi is on the floor app.
5. Bizom (India). Verdict: the general trade execution pick for a brand selling through distributors. Best for: FMCG and consumer brands with a field force in general trade and modern trade. Notable: field-force and secondary sales app with shelf photo recognition, as its site describes. Scope: not built for own-store operations. Pick it if: the execution unit is a retailer's shelf and a distributor's order. 2027 watch: expect shelf recognition and distributor management to deepen; ask whether any own-store module is planned before using it for showrooms.
6. FieldAssist (India). Verdict: the other general trade execution pick, with the same shape. Best for: consumer brands running beat plans and secondary sales through a field force. Notable: field-force and secondary sales app with shelf photo recognition, as its site describes. Scope: not built for own-store operations. Pick it if: your team visits retailers rather than running stores. 2027 watch: expect beat planning and shelf recognition to deepen; ask whether own-store execution is on the roadmap.
7. GoSpotCheck by FORM (US). Verdict: the global field execution and image recognition tool for merchandising in stores the brand does not own. Best for: CPG and retail merchandising teams with a global footprint. Notable: field execution and image recognition, as its site describes. Scope: shelf and planogram vocabulary. Pick it if: you need one field execution tool across countries. 2027 watch: expect shelf recognition to sharpen; ask about India pricing and languages.
8. YOOBIC (UK and France). Verdict: the frontline experience platform for global own-store brands. Best for: large retail and hospitality brands running tasks, communication and microlearning across countries. Notable: one app for tasks, comms and learning, as its site describes. Scope: global enterprise; Indian languages and per-store pricing not claimed. Pick it if: India is one region in a global rollout. 2027 watch: ask about India data residency, Hindi and per-store pricing.
9. Zebra Workcloud (formerly Reflexis, US). Verdict: the pick when execution tasks sit on the same devices as workforce scheduling. Best for: very large retailers on 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 are in the same purchase. 2027 watch: ask whether the bundle is available per store in India.

Criteria table: every tool scored

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: BorentisOps, the only tool on the list that reads execution beside selling, and one of several on the other five criteria.
• Mixed estate across retail, restaurants, banking or manufacturing: Wooqer, with Pazo where photo integrity is the first problem.
• Indian mid-market with public pricing: Amply.
• General trade and modern trade brands with a field force: Bizom or FieldAssist in India, GoSpotCheck for a global footprint.
• Global enterprise with US operations: YOOBIC for frontline engagement, Zebra Workcloud when devices and workforce are in the same purchase; Zipline for communications, on the store operations page.
• Restaurants: Zenput or Wooqer, on the store operations page.
• Safety-first audits: SafetyCulture, on the store audit page.

Planning the pilot and the rollout

1. Weeks one and two, before the vendor: write the execution standard for the pilot, the dockets, the checklists, the SLA per ticket type, and the DPDP notice for the store; choose ten to twenty stores across two regions, the usual Borentis pilot size, with one flagship, one small-town outlet and one store you trust least.
2. Week three: run the demos against the standard, with the demo questions below, and ask for the per-store price with unlimited users in writing.
3. Weeks four to nine, the pilot: go live on the store phone in the store's language, read the digest every evening, and record two working ranges from the tool's own dashboard, the share of stores completing the opening checklist before the doors open and the share of tickets closed inside the SLA, in the first and the last week.
4. Week ten, the decision: compare the two ranges, read the selling score beside them if the tool has it, and decide on the stores you trusted least, not the flagship.
5. The rollout: add regions in waves of the size the area managers can train in a fortnight, never through the festive season, with the DPDP terms, the storage location and the retention period fixed in the contract before the first wave.
6. Ownership: name one owner across operations, visual merchandising and sales, and give all three one store card to read.

Questions to ask on the demo

• Is this tool built for my own stores or for shelves in other people's stores? Show me the vocabulary in the product.
• Score one of my store photos against one of my dockets, timed.
• Complete an item from the gallery and show me the refusal.
• Fail an item, let the SLA expire, and show me the escalation.
• Run the store phone in Hindi and in Hinglish.
• Show me the price per store per month and what changes when I add advisors.
• Show me execution and selling on one store card, or say that it is on a roadmap.
• Tell me where photos and recordings are stored, for how long, and how deletion works.