How Steady Rabbit Turned Disconnected Supply-Chain Data into a Predictive Command Center—Driving 15 % Better Forecast Accuracy, a 97 % Unit Fill Rate, and 98 % External-Manufacturing Adherence in 24 Weeks
Democratise high-quality financial advice using generative AI
Python Flask API, OpenAI completions, MongoDB
SyrenCloud—a data-services arm of a €5 billion fast-moving consumer-goods (FMCG) group—struggled to meet its flagship KPI: OTIF-D (On-Time In-Full Delivery). Unreliable demand forecasts, siloed supplier updates, and spreadsheet-driven inventory targets left planners fighting fires. Each 1 % slip in OTIF-D cost an estimated €2.7 million in lost sales and penalties.
Steady Rabbit deployed a Micro-GCC Core-Flex squad that blended data-engineering muscle with on-demand supply-chain and Azure analytics SMEs. In only 24 weeks, the team:
Every sprint landed on time; no P0 incidents hit production in the first 120 days. SyrenCloud now markets the OTIF-D Suite as a paid add-on—projected €4.1 million ARR in year one.
Analytics subsidiary of a global FMCG conglomerate
2019 (data-COE spinoff)
Provide cloud analytics that unlock supply-chain agility
14 factories • 62 third-party manufacturers • 120+ suppliers
SAP ECC, Excel MRP, isolated PowerBI reports, Azure AD w/out RBAC
Board mandate: lift OTIF-D from 92 % → 97 % before FY close
Sales forecasts MAPE 24 %; planners padded inventory → €38 M tied-up cash
Stock-outs & write-offs
ERP, MES, WMS, supplier EDI in separate clouds
No single OTIF-D version of truth
Excel macros produced weekly plans; changes took 48 h to ripple
Late PO releases, missed slots
30 % output via TPMs; adherence 82 %
Penalties, expedited freight
Issues surfaced after misses
OTIF-D stuck at 92 %, CFO scrutiny
6 months to meet KPI or cut SKU expansion budget
Strategic growth at risk
Micro-GCC Squad Structure
Outcome: backlog sized to 112 SP/sprint; go-live target Week 24.
When the DevOps engineer faced a family emergency in Sprint 6, the Buffer dev stepped in within 3 hours, ensuring Terraform pipeline PRs merged on time—zero velocity impact.
User Activation 48 % → 71 % (+23 pp) within 30 days
No-Show Rate 40 % → 9 % (-31 pp) after automated reminders
Tier-1 inquiries auto-resolved 63 % via GPT-powered triage, cutting support FTEs by 1.5 headcount
Peak-hour p95 latency 950 ms → 420 ms (2.3× faster)
Therapist onboarding 12 days → 36 hours, enabling rapid supply scaling
Day-14 churn 38 % → 15 % through personalised CBT modules
HIPAA & ISO 27001 audit pass 2 months ahead; enterprise buyer contract signed USD 1.9 M
Secured USD 8 M Series A; investor memo cited “enterprise-grade tech backbone”
Predictability Premium ROI: Steady Rabbit’s 8 % blended-rate premium saved ~USD 930 k cost-of-delay by avoiding a projected four-week slip.
Right specialists appeared within 48 h; Buffer bench absorbed shocks.
Seven Plan-Left gates cut re-work 40 %, without heavyweight PMO.
Real-time dashboards kept schedule variance ≤ 3 %.
Team included clinicians, CISSP architect, and LangChain SME—critical for HIPAA + GPT success.
KPIs (activation, latency, audit) tied to squad incentives; no vanity metrics.
Weekly steering, Slack war-room, shared burn charts—zero surprises.
Steady Rabbit turned scattered data into an always-on command center. Forecasts improved overnight, stock-outs vanished, and we hit our OTIF-D goal a quarter early. Their Micro-GCC model is the definition of predictable delivery.
