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Extreme Efficiency with AI for Top Line & Bottom Line P&L
Mapping CT capabilities to CCH's digital roadmap, peer gaps, and market opportunities
We are not proposing to become a new vendor. We are already embedded in CCH — and we are proposing to do significantly more with the relationship we have built, at a moment when the bottling industry is being reshaped by AI.
| CCH BP26 Priority | CT Active Today | CT Ready to Add | Impact | Timeline |
|---|---|---|---|---|
| Sales Academy Metaverse P1 |
17 HC, SoW3 active, CMS rollout to Greece & Cyprus | AI-powered performance analytics — use agent to track learning outcomes vs. in-store execution KPIs | Top Line | Q3 2026 |
| Customer Portal eB2B P1 |
3 HC, Customer Portal Acceleration active | Conversational Commerce bot — Hellen+ on portal using CT Agentforce experience (like "Where is my Order" agent) | Top Line | Q3-Q4 2026 |
| Next Gen OTC P1 |
CPI + D365 Integration support (9 HC) | Smart Order Assistant — 7 use cases: photo-to-order, promo suggestions, quota check, mass cart actions. Production-ready. | Top + Bottom | Q2-Q3 2026 |
| RPA / O2 Programme P2 |
4 HC, UIPath to PowerAutomate migration active | Scale to full O2 scope — Takeda reference: 20 complex bots migrated, $529K annual savings per market, $5-10M at scale | Bottom Line | Ongoing |
| Digital Innovation Lab P2 |
1 HC, conference-ready app with object detection & optimised comms | Expand to AI Innovation Lab model — structured incubation like CCEP's AI Ideas Incubator (CT proven with XR/AI for MedTech) | Top + Bottom | Q3 2026 |
| SFA on Power Platform Evaluation |
Strategic discussion planned | CT REx — Microsoft Power Platform SFA with Copilot for GenAI, PowerBI/Teams/Azure integration. Proven field sales offline. | Top Line | Q3 2026 |
| Segmented Execution AI P1 |
Sales Academy AI content | Agentic SFA suite: Recommended Visits, Next Best Action, Recommended Assortment & POS, Voice-to-Action — all pre-built | Top Line | Q3-Q4 2026 |
| # | Leakage Type | What Happens / CCH Relevance | AI Solution | CT Status | Impact |
|---|---|---|---|---|---|
| L1 | Trade Promo Leakage Promos executed incorrectly or not at all |
Industry avg: 20-30% of trade spend is wasted. With Promo360 rolling out, AI can detect execution gaps in real-time: wrong pricing at outlet, missing POS materials, promos not activated on time | CT Vision (photo compliance) + Smart Order (promo auto-suggest) + Next Best Action (flag non-compliant outlets) | CT Has | 1-3% revenue |
| L2 | Out-of-Stock at Outlet Lost sales from empty shelves |
Avg bottler loses 3-5% of sales to OOS. Worse at wholesalers and fragmented trade. Dynamic routing visits 22 markets but doesn't yet predict which outlets need urgent restocking | AI Demand Prediction per outlet (CCEP model: 5-20% sales lift) + Recommended Order agent pre-populating orders before stockout | CT Has Order agent + build prediction |
2-4% revenue |
| L3 | Pricing Compliance Gaps Wrong prices at point of sale |
Outlets charging above/below recommended price, eroding brand value or margin. Especially critical with OBPPC automation and multi-tier pricing across 29 markets | CT Vision (price tag recognition during store check) + Menu Data (scraping HoReCa pricing) + anomaly alerting | CT Has | 0.5-1.5% margin |
| L4 | Ghost Visits / Low-Value Visits Reps visiting wrong outlets |
CCH has dynamic routing in 22 markets reducing travel 15%. But route efficiency is not visit effectiveness. Reps may visit low-potential outlets while high-value ones get skipped | Recommended Visits agent (priority-weighted) + Vocal Customer 360 (highlight high-value accounts) + Manager Briefing (territory coverage KPIs) | CT Has | 0.5-2% revenue |
| L5 | Contract & Volume Leakage Customers not meeting commitments |
BP26 includes Customer Contract Management. Without AI monitoring, volume commitments and rebate conditions go untracked until reconciliation — often too late | Digital Data Steward (contract compliance monitoring) + Talk to your Data (natural language contract queries) + automated alerts | CT Has | 0.5-1% revenue |
| L6 | Cooler Revenue Loss Idle or competitor-filled coolers |
CCH placed +20% "Always-on" connected coolers. But cooler downtime, wrong temperature, or competitor products in CCH coolers means lost sales. IoT data exists but AI layer is missing | Connected Cooler AI (anomaly detection on IoT data) + CT Vision (cooler purity checks during visits) | CT Has CV ready, IoT layer to build |
0.3-1% revenue |
| L7 | Returns & Breakage Preventable product losses |
Returns from overdelivery, wrong SKU, expired product. Breakage in warehouse and transport. AI can predict and prevent before it happens | AI Demand Prediction (right quantity) + Smart Order quota check (prevent overdelivery) + predictive alerts | CT Has Partial — order side ready |
0.3-0.8% COGS |
| L8 | Invoice & Settlement Errors Discrepancies in billing |
Next Gen OTC aims for touchless settlement. But today, invoice discrepancies between SAP, CPI, and customer systems cause disputes, delayed payments, and write-offs | Digital Data Steward (cross-system reconciliation) + AI invoice review (auto-extract and match) + RPA (automate dispute resolution) | CT Has | 0.2-0.5% revenue |
| # | Use Case | CCH Application | Benchmark | P&L | Deploy |
|---|---|---|---|---|---|
| 1 | Agentic SFA Suite (10+ agents) | Segmented execution: Next Best Action, Recommended Assortment, Vocal 360, Voice-to-Action across 29+ markets | +50% marketing ROI, +25% loyalty. CCEP: 7K AI reps | Top | 4-8 weeks |
| 2 | Smart Order Assistant (7 workflows) | Photo-to-order, promo auto-suggest, quota check, smart templates, mass cart, PDF confirm | -40% order time, -15% errors. CCEP: 99% faster | Top+Bot | 4-6 weeks |
| 3 | Conversational Commerce (Hellen+) | AI chatbot on Customer Portal & SIRVIS: order status, recommendations, 24/7 self-service | 52% of brands use chatbots. Ticket deflection + NPS | Top | 4-8 weeks |
| 4 | CT Vision / AI Store Check | RED image recognition: planogram compliance, share-of-shelf, price tag capture | CCH target: 77%→86%. 39% brands use AI shelf mgmt | Top | Deployed |
| 5 | WhatsApp Commerce | AI agent for CCBA Africa: order placement, status, promo alerts. Low-connectivity friendly | CCEP: WhatsApp 5-20% sales lift at 1K outlets | Top | 6-8 weeks |
| 6 | Menu Data / HoReCa Intel | Auto-scrape bar/restaurant menus: new accounts, brand compliance, visit prioritisation | Tested US brewing: 95% parsing, 24% coverage | Top | Pilot ready |
| 7 | AI-Driven Managed Services | CPI, D365, Portal support with Institutional Memory. 95% L1 auto, 5x faster MTTR | 40-60% cost cut vs SI. Zero key-person risk | Bottom | 4-8 weeks |
| 8 | RPA Migration & Scale | O2 programme: all remaining bots UIPath→PowerAutomate + new automations | $529K/market. $5-10M at scale. Takeda: 20 bots | Bottom | Active |
| 9 | Digital Data Steward | MDM Oxygen: Customer, Material, Finance, Vendor DQ. Anomaly detection + triage | Top 5 Pharma ref. Proactive DQ at scale | Bottom | 4-8 weeks |
| 10 | SAP Knowledge Base (RAG) | S/4 upgrade: make ECC docs searchable via NL. Reduce migration risk | AB InBev ref. Faster onboarding, fewer surprises | Bottom | 4-6 weeks |
| 11 | Enterprise Copilot (Talk to Data) | NL access to SharePoint, Teams, CRM, BI. Hellen+ accelerator for NG reporting | CCEP: LLM BI. Deloitte: data leaders 41% EBITDA | Bottom | 6-10 weeks |
| 12 | GenAI Dev Suite (8 validators) | Code validation, unit test gen, requirements validation, auto-docs, QA automation | 40-60% time savings. Req-to-deploy in minutes | Bottom | Deployed |
| 13 | SOX & Compliance AI | Automated controls, tax compliance, regulatory reporting across 29+ markets | €50K-€5M penalties avoided. $529K+ savings/mkt | Bottom | 4-8 weeks |
| 14 | Employee Attrition AI | ML predicting churn risk. HR data + engagement signals. Early intervention | 10% attrition reduction. SAP AI Core ref | Bottom | 8-12 weeks |
| 15 | AI-Powered ITSM | Agentforce ITSM: self-service, L1 auto-resolve, Teams integration | 95% L1 deflection. Lower IT cost | Bottom | 6-8 weeks |
| 16 | AI CRM & Loyalty | Personalised B2B2C communications, targeted content, retail media | +25% loyalty. Salesforce Einstein NBA | Top | 6-10 weeks |
| 17 | XR / Connected Worker | AR-guided manufacturing training (maps to Sales Academy Metaverse + CCEP Mannheim model) | CCEP: AR glasses. CT: VR/AR/MR MedTech platform | Bottom | 8-12 weeks |
| 18 | AI Content Publishing | Auto-ingest, AI scoring, auto-generate articles/images. Digital marketing teams | Multi-LLM, cost-optimised content at scale | Top | 6-8 weeks |
| 19 | CT Zen (Universal Co-pilot) | General-purpose AI assistant for any CCH role. Summarisation, scheduling, data lookup | Democratises AI. Zero training overhead | Bottom | 4-8 weeks |
| # | Use Case | CCH Application | Benchmark | CT Investment Needed | Why CT Can Do It |
|---|---|---|---|---|---|
| 20 | AI Demand Prediction | Outlet-level demand sensing using sales history, weather, events. Reorder suggestions via portal/WhatsApp | CCEP: 5-20% sales lift. McKinsey: 20-50% fewer forecast errors | €80-150K ML models + data pipeline | CT has Databricks, ML eng, and Data Cloud. Needs bottler training data |
| 21 | Dynamic Pricing / RGM AI | Model price elasticity, pack architecture impact, promo timing. OBPPC automation support | +15% profit margins. Pre-market scenario simulation | €100-200K Pricing models + UX | CT has data science + Salesforce/SAP integration. Pricing domain needs specialist |
| 22 | Digital Shelf Analytics | Monitor CCH online presence, pricing, reviews across e-retailers. Competitive intel for e-commerce RTM | Growing with e-commerce. CCH: "online retailer partnerships" | €60-120K Scraping + NLP + dashboard | CT has Menu Data scraping infra. Extend to e-commerce sites |
| 23 | Connected Cooler AI Layer | AI on top of existing IoT Hub data: predict maintenance, optimise placement, cooler-to-sales correlation | CCH: +20% cooler placement. KO: 8% fuel reduction | €80-150K ML models on IoT data | CT has ML + Azure. Needs CCH IoT Hub API access |
| 24 | AI Legal & Invoice Review | Contract analysis, invoice extraction, compliance automation for finance/legal | CCEP: ndMAX legal AI. 30s per task saving at scale | €50-100K RAG + doc processing | CT has RAG platform + document AI. Extend to legal/finance docs |
| 25 | AI Product Innovation | GenAI for flavour concepts, consumer trend analysis, packaging design acceleration | 30 concepts/day vs 10 days manual. KO Y3000 model | €80-150K GenAI pipeline + domain data | CT has GenAI infra. Needs CPG/beverage domain training |
| 26 | AI Safety Monitoring | CV for PPE compliance, hazard detection in manufacturing/warehouse | 30-50% incident reduction. PepsiCo: AI vision for bottleneck detection | €100-200K CV models + edge deploy | CT has CV (CT Vision, store check). Needs industrial safety domain |
| 27 | Predictive Maintenance | IIOT data models: predict failures, optimise schedules, reduce downtime | -20% downtime. Mature tech. CCH BP26 P1 | €150-250K IoT + ML + OT integration | CT has ML eng. Needs OT/SCADA expertise — hire or partner |
| # | Use Case | What It Requires | Why It's Heavy for CT | CT Investment to Enter | Recommendation |
|---|---|---|---|---|---|
| 28 | Digital Twin + AI Agents PepsiCo/Siemens/NVIDIA model |
Physics-based 3D replicas, NVIDIA Omniverse, Siemens Digital Twin Composer, real-time simulation of production lines | Requires deep OT/manufacturing domain, NVIDIA partnership, Siemens tools. PepsiCo invested multi-year with 2 industrial giants | €1-2M+ + Siemens/NVIDIA partnership |
Don't build. Flag for CCH as industry trend. Recommend CCH engage Siemens directly. CT can support data integration layer only |
| 29 | AI Quality Control (Production) Real-time manufacturing CV |
Specialised cameras, edge computing on production lines, real-time defect detection at bottling speed (1,000+ bottles/min) | Requires industrial vision hardware, edge deployment at OT level, food/bev safety certification. Different from retail CV | €500K-1M Hardware + industrial CV team |
Don't build. Specialised vendors (Cognex, Keyence) own this. CT can integrate QC data into enterprise reporting |
| 30 | Energy & Sustainability AI Real-time emissions/water optimisation |
Integration with BMS, SCADA, utility meters. Real-time energy optimisation across 80+ plants. Carbon accounting per SKU | Requires deep utility/energy domain, building management system integration, regulatory/ESG reporting frameworks | €500K-1M Energy domain + OT integration |
Don't build. ESG platform vendors (Persefoni, Watershed) do this. CT can build the AI analytics layer on top of CCH's new ESG platform |
| 31 | Fleet Telematics AI Real-time fleet optimisation |
GPS hardware, real-time traffic APIs, driver behaviour sensors, integration with logistics planning (BlueYonder) | Requires fleet management hardware, telecom partnerships, real-time geospatial ML. CCH has dynamic routing via existing vendor | €500K-1M Geo ML + fleet hardware |
Don't build. CCH has dynamic routing in 22 markets already. Fleet telematics vendors (Samsara, Geotab) are specialised. CT can enhance existing route AI with sales intelligence overlay |
| 32 | Warehouse Automation AI Advanced robotics & AGV |
AGV coordination, robotic pick-and-place, intelligent slot optimisation, integration with WMS | Requires robotics hardware, WMS deep integration, warehouse infrastructure. Beyond software-only solution | €1M+ Robotics + WMS integration |
Don't build. Hardware-dependent. Vendors (Locus Robotics, 6 River Systems) specialise. CT can build AI layer on top of WMS data for pick optimisation reporting |
| 33 | AI Fermentation & Process QC Real-time beverage process control |
Inline sensors (Brix, CO2, pH), real-time process control, batch prediction models, integration with SCADA/MES | Deep beverage manufacturing science, food safety certifications, OT-level real-time control. Not a CRM/data play | €500K-1M Process eng + sensors |
Don't build. Process control vendors (Rockwell, Siemens) own this. Flag as industry trend for CCH Manufacturing 4.0 team |