Sbi0185 Here
| Pain Point | Impact | |------------|--------| | – average wait of 28 minutes | Customer dissatisfaction, loss of footfall | | Manual loan processing – paperwork took 4‑5 days | Delayed credit, lost business opportunities | | Fragmented data – customer information stored in three separate systems | Errors, compliance risk, and poor cross‑sell insights |
| Goal | Success Metric | |------|----------------| | 1️⃣ Reduce average queue time to | Real‑time queue monitoring | | 2️⃣ Cut loan‑approval cycle to ≤ 24 hours | End‑to‑end digital workflow | | 3️⃣ Achieve single‑view customer data across all systems | Unified CRM dashboard | | 4️⃣ Increase cross‑sell conversion by 15 % | Monthly sales reports | 3. The Team & Their Roles | Team Member | Role | Key Contribution | |-------------|------|-------------------| | Anita Sharma (Branch Manager) | Project Sponsor | Set priorities, secured budget, championed change | | Rohit Mehta (IT Lead) | Architecture & Integration | Designed the micro‑services platform linking core banking, CRM, and loan engine | | Neha Gupta (Operations Lead) | Process Redesign | Mapped “as‑is” to “to‑be” processes, introduced self‑service kiosks | | Amit Singh (Data Analyst) | Insight Engine | Built a 360° customer view and predictive cross‑sell models | | Lakshmi Rao (Customer Experience) | Front‑line Training | Created “digital ambassador” program for staff and customers | sbi0185
The team adopted (two‑week sprints) and set up a transparent Kanban board that anyone in the branch could view on a wall-mounted screen. 4. The Journey – Milestones & Hurdles | Sprint | Milestone | What Went Well | What Needed Fixing | |--------|-----------|----------------|--------------------| | Sprint 1 (Weeks 1‑2) | Deploy self‑service kiosks for cash deposit/withdrawal | 85 % of customers adopted within 3 days | Kiosk UI was not multilingual; added Hindi & Urdu options | | Sprint 2 (Weeks 3‑4) | Integrate core banking with CRM via REST APIs | Real‑time balance check on the CRM succeeded | Data latency spikes; optimized caching layer | | Sprint 3 (Weeks 5‑6) | Build digital loan application (e‑KYC, auto‑score) | Loan approval time dropped to 48 hours | Manual document verification still a bottleneck; introduced OCR for ID documents | | Sprint 4 (Weeks 7‑8) | Launch queue‑management app (ticket numbers, SMS alerts) | Average queue fell to 12 minutes | Some customers lacked smartphones; installed in‑branch QR code kiosks | | Sprint 5 (Weeks 9‑10) | Deploy analytics dashboard (cross‑sell triggers) | Sales team identified 30 high‑value prospects per week | Dashboard overload; refined to top‑5 priority alerts | | Sprint 6 (Weeks 11‑12) | Full go‑live of all features, conduct customer‑feedback day | Overall NPS rose from 62 to 78 | Minor glitches in loan‑disbursement after-hours; added 24 x 7 support bot | 5. The Outcome – Numbers That Tell the Story | KPI | Baseline (Pre‑SBI0185) | After 12 Months | |-----|------------------------|-----------------| | Average Queue Time | 28 min | 4 min | | Loan‑Approval Cycle | 4‑5 days | 22 hrs | | Customer Data Consolidation | 3 separate systems | Single 360° view | | Cross‑Sell Conversion | 8 % | 13 % (+5 pp) | | Net Promoter Score (NPS) | 62 | 78 | | Branch Revenue Growth | ₹1.2 cr | ₹1.8 cr (+50 %) | | Pain Point | Impact | |------------|--------| |