One view of every quick-commerce platform, automated, alerted, self-service

Quick commerce has become a primary sales channel for brands, but performance data is trapped inside each platform. Teams log in to Blinkit, Zepto, BigBasket and Instamart one by one, export reports, and stitch them together in spreadsheets. A quick-commerce enablement company set out to replace that with a single, automated, always-current view, and partnered with Periscope to build it.

The Challenge

Every brand selling across multiple quick-commerce platforms faced the same daily grind, and it only got worse as they added platforms and SKUs:

1. 01

   Data trapped in silos. Sales, inventory and revenue data lived inside each platform, with no consolidated view across them.

2. 02

   Manual, error-prone reporting. Teams logged in separately, downloaded reports and merged them by hand, slow, inconsistent, and stale by the time decisions were made.

3. 03

   No alerts, no self-service. Revenue drops and anomalies went unnoticed until the next manual review, and brands had no portal of their own to explore performance.

Brands didn't need another export, they needed one place that pulls every platform together automatically, flags what changed, and tells them what to do about it. The engagement brief

The Solution

Periscope built the platform in three phases, from an automated internal reporting engine, to alerting and revenue intelligence, to a full client-facing analytics portal with AI-driven recommendations.

Phase 1, Automated aggregation & reporting

Secure, authenticated data retrieval across the leading quick-commerce platforms, consolidated into standardized per-client reports, with a monitoring dashboard tracking runs and active clients, one-click re-runs for failed jobs, and a searchable report history.

Phase 2, Alerts & revenue intelligence

A notification center for completed and failed runs and revenue alerts, client-level revenue overviews, a revenue report module with filters, charts and anomaly detection, and a Client Manager for onboarding and downloadable client reports, so issues surface proactively instead of on the next manual review.

Phase 3, Client-facing analytics portal

A secure, per-client portal with role-based access, giving each brand its own dashboard, SKU-level product analytics, revenue trend / waterfall / city-wise views, platform-contribution insights, and self-service report access, plus an AI recommendations module that suggests actions and tracks the sales impact after they're applied.

The Results

Delivered in phases, the platform turned a manual, fragmented reporting chore into an automated intelligence layer brands log in to themselves.

One consolidated view. Performance across every quick-commerce platform is unified automatically, no more platform-by-platform logins and spreadsheet merges.

Proactive, not reactive. Revenue drops, anomalies and failed runs raise alerts the moment they happen, with a shortcut to act.

Self-service intelligence. Brands explore SKU, revenue and platform performance in their own portal, and act on AI recommendations with measured impact.

Built to scale. A secure, multi-tenant foundation with role-based access, ready to add platforms, clients and insight modules over time.

From platform-by-platform spreadsheets to one automated portal, alerted, self-service, and recommending the next move. Outcome summary