Perfect Orders dropped 3 percent.
Who caused it? ChatKa shows you.
ChatKa shows the real chain:
supplier delays → shortages → substitutions and reveals exactly why Perfect Orders moved and what it cost you, directly inside Microsoft Teams or Slack.
🧩 Perfect Orders • Supplier Delays • Substitutions • OTIF
"Why did perfect orders drop yesterday?"
Answered in minutes.
See ChatKa in Action
Example: Why Perfect Orders Dropped Yesterday (CFC3)
Yesterday, Perfect Orders in CFC3 fell from 64.8% → 58.9%.
ChatKa revealed the exact root-cause chain in minutes without dashboards, exports, or queries.
1. Supplier delays created immediate shortages
Three inbound issues drove most of the drop:
• Fastship arrived 10h late to CFC2 and 8h late to CFC3
→ 1,120 eaches affected across 8 chilled SKUs
• GreenFields short-delivered
→ 680 eaches across 4 produce SKUs
• FreshCo arrived 7h late
→ 1,150 eaches affected across 6 meat SKUs
Total shortages: 1,460 eaches refunded across 13 chilled + produce SKUs.
2. Shortages triggered substitutions across chilled + produce
• Chilled substitutions rose from 6.1% → 9.1%
• ~990 eaches substituted
• 3 produce SKUs went fully out-of-stock by 14:00
• This alone accounted for ~1,000+ order changes.
3. Customer impact escalated quickly
• 184 customer credits issued
• 412 orders refunded
• 40 complaint tickets
• 2 delivery routes pushed near cut-off due to consolidation reshuffle
Estimated margin impact
ChatKa quantifies the real financial effect:
• Refunds: £1,380
• Customer credits: £540
• Substitution margin delta: £315
• Delivery adjustments: £180
• Complaint-driven LTV loss: £260
Total: ~£2,675
ChatKa produced this analysis in minutes — without dashboards, BI queries, or manual reporting.
Traditional analysis:
Hours
ChatKa:
Minutes
See how ChatKa works in Microsoft Teams or Slack
How ChatKa plugs into your operation
Connect to your warehouse data
Read-only access to your existing data warehouse (Perfect Orders, inbound delays, chilled, substitutions, OTIF).
Map your KPIs
We configure 8–10 KPIs: Perfect Orders, Supplier Delays, Substitutions, OTIF, Chilled pick, Cut-off windows.
Ask in Microsoft Teams or Slack
"Why did perfect orders drop yesterday?" → ChatKa gives the chain and the financial impact in minutes.
What changes for you
No more Monday firefights
You stop hunting for the cause of KPI drops.
Full visibility on Perfect Order drivers
Supplier → chilled → substitution → cut-off chain in minutes.
Less time wasted in cross-team calls
No more analytics → chilled → inbound → supplier ping-pong.
Protected margin
Real-time view of cost impact from failures.
4-Week Pilot
Includes: KPI mapping, Microsoft Teams or Slack setup, 8–10 KPIs, weekly check-ins.
Pricing
Root-Cause Sprint — 4–6 Weeks
1–2 CFCs
- ✓Covers inbound → perfect order issues
- ✓Live Chatka instance on your data
- ✓Weekly insight reviews
- ✓Outcome: quantified root causes + rollout plan
- ✓Typical range: low five figures
Network Guardrail — Annual
Covers full CFC + spoke network
- ✓Full KPI domain pack
- ✓Daily anomaly explanations
- ✓Microsoft Teams or Slack for all operational teams
- ✓12-month contract
- ✓Typical range: low-to-mid five figures per year
Security & Access
Read-only data access
No write permissions required
Hosted on Google Cloud
Secure, scalable infrastructure
Uses your warehouse's native permissions
Leverages your existing access control
No PII required
Works with aggregate operational data
SOC2-aligned architecture
Following security best practices
Trusted by operations teams using modern data warehouses
Perfect Orders · Inbound Delays · Chilled · Subs · OTIF · Cut-offs