Integrated Store Communication & Compliance Checklist — Digitised Store Ops & Compliance

- Operational communication is happening on WhatsApp, an uncontrolled channel where anyone can add members, creating access, privacy, and audit risks. - Messages and replies are frequently buried or lost, making follow-up unreliable and slowing resolution. - Store checklists, food safety audits, and issue reports are fragmented across paper, spreadsheets, photos, and chats—no single source of truth. - Case ownership is unclear: there’s no standard workflow for assignment, escalation, or closure with SLAs. - Evidence (photos, timestamps, locations) isn’t consistently captured or linked to specific cases, weakening traceability and audits. - Data quality is inconsistent (missing fields, duplicates, back-dating), leading to rework and disputes. - Management lacks real-time visibility into status, trends, and bottlenecks across stores and functions. - Compliance performance cannot be reliably correlated with sales or customer experience due to disconnected data. - The result is slower issue resolution, higher compliance risk (especially food safety), and avoidable operational and reputational impact. - Core gap: there is no controlled, auditable, end-to-end process to capture, route, track, and report store compliance and issues.

Secure, HQ-controlled communication (replaces WhatsApp) Target: Pilot ≥ 80% ops/escalations handled in the platform (not WhatsApp), 100% staff sign in with company email/SSO, leavers removed ≤ 24h, 0 non-employee members → Scale ≥ 95% in-platform, resigned staff removed ≤ 4h, 0 non-employee members. On-time work with proper evidence Target: Pilot ≥ 95% tasks done on time & ≥ 90% cases with photo, time, and location → Scale ≥ 98% Fast handling and closure of issues Target: Pilot ≥ 90% issues assigned ≤ 15 min & ≥ 85% closed within agreed time: time to fix −35% → Scale ≥ 95% assigned ≤ 10 min & ≥ 95% within agreed time; time to fix −60%. Clear link to sales and fewer sales disruptions Target: Pilot compliance-to-sales dashboard live by Week 2 & days of sales affected by critical issues −40% → Scale 100% stores linked (weekly refresh) & −70%. Better fixes, fewer repeats Target: Pilot first-time fix ≥ 75% & repeat issues −30% → Scale first-time fix ≥ 85% & −50%.

Store issues are reported via WhatsApp, paper forms, and spreadsheets, leading to uncontrolled access, message loss, and poor traceability. Ownership is often unclear, with no standardized follow-up to ensure timely closure. Evidence (photos, timestamps, locations) is inconsistently captured and not reliably linked to cases. Management lacks a consolidated, real-time view across stores, and fragmented data cannot be correlated with sales, food safety audit (SQC) or customer experience. The result is slow resolution, elevated store SQC risk, and the absence of a single, controlled, auditable process to capture, assign, track, and close issues.

Store issues are reported via WhatsApp, paper forms, and spreadsheets, leading to uncontrolled access, message loss, and poor traceability. Ownership is often unclear, with no standardized follow-up to ensure timely closure. Evidence (photos, timestamps, locations) is inconsistently captured and not reliably linked to cases. Management lacks a consolidated, real-time view across stores, and fragmented data cannot be correlated with sales, food safety audit (SQC) or customer experience. The result is slow resolution, elevated store SQC risk, and the absence of a single, controlled, auditable process to capture, assign, track, and close issues.

Store teams & shift managers (primary users) QA / Food safety auditors Operations & regional managers (dashboards & escalations) Customer experience / CRM & sales teams (performance correlation) Maintenance & facilities teams (task assignment)

TBD

TBD