make87 for Smart‑Vending & Unattended Retail

The Shift: From Machines to Micro‑Stores

The vending industry is undergoing its biggest transformation since cashless payments. Modern consumers don't just want products from a box—they expect frictionless experiences that rival staffed retail. This shift demands infrastructure that traditional vending tooling wasn't built for.

• Always‑on expectations. Consumers tap, pay, and walk—downtime is lost revenue and brand damage. A single payment failure during lunch rush can mean 50+ lost transactions and social media complaints that hurt your brand.

• Hyper‑dynamic SKUs. Menus, prices, and promotions change weekly; static firmware can't keep up. Surge pricing for hot coffee on cold mornings? Happy hour discounts at 3 PM? Your deployment pipeline needs to handle these changes in minutes, not maintenance cycles.

• AI at the edge. Computer‑vision shrink control and demand forecasting require fast model refreshes. When your vision model learns to detect new theft patterns or your demand model adjusts for local events, you need those updates deployed fleet‑wide before losses mount.

• Fleet explosion. Success goes from 10 kiosks to 1,000+ — ops cost must fall, not rise. The deployment approach that worked for your pilot breaks at 100 machines and becomes a nightmare at 1,000.

Traditional device‑centric tooling buckles under these demands. make87 provides a single integration & deployment layer across mixed hardware, letting you focus on customer experience instead of infrastructure plumbing.

What make87 Delivers

Weeks‑to‑market, not months

End‑to‑end integration & deployment flow—from code commit to running kiosk, no home‑grown scripts or manual packaging. Push updates to development machines in seconds, staging fleets in minutes, production rollouts with confidence.

Update safety

Transactional, version‑controlled rollouts with automatic rollback if KPIs dip—runs on your hardware, protects revenue 24‑7. Define success metrics (transaction rate, error threshold, response time) and let make87 handle the rest.

Edge intelligence refresh

One‑click ML model swaps across thousands of units; validation logs streamed in real time. Update your theft detection model Monday morning, see performance metrics by lunch, full rollout by Tuesday.

Fleet‑wide observability

Live metrics, camera snapshots, and device health in a single console—no more swiveling between dashboards. Spot a payment processor latency spike affecting 3% of your fleet before customers complain.

Cost discipline at scale

Pay only for active systems; no surprise per‑transaction fees eating margin. Predictable pricing that scales with your business, not against it.

Real‑World Use Cases

Dynamic Pricing & Promotions

Your competitor drops prices at 2 PM. With make87, you counter at 2:15 PM across your entire fleet. Push time‑based promotions, weather‑triggered discounts, or inventory‑clearing sales without touching a single machine.

Computer Vision Loss Prevention

Deploy updated vision models that detect new theft patterns as they emerge. When your ML team identifies a new shrinkage vector (like the "false scan" technique that emerged in Q4 2024), push the updated model to your entire fleet before losses compound.

Multi‑Tenant Fleet Management

Run different software stacks for different venue partners on the same hardware platform. University campuses get allergen‑aware interfaces, hospitals get HIPAA‑compliant payment flows, airports get multi‑currency support—all managed through one deployment interface. Scale your venue partnerships without scaling your ops team.

Predictive Restocking

Combine real‑time inventory data with demand forecasting models that update based on local events, weather, and historical patterns. When the ML model learns that Tuesday 10 AM coffee demand spikes 3x during conference season, your restocking routes automatically adjust.

Integration Timeline

• Week 1: Proof of Concept
  Install make87 agent on a single development kiosk. Deploy your first containerized service. See your existing systems running under make87 orchestration. Most teams have a "hello world" deployment within 2 hours of initial setup.

• Week 2-3: Staging Rollout
  Expand to your staging fleet (typically 5-10 machines). Configure deployment values, set up monitoring dashboards, define rollback versions. Run your first remote rollback drill. Your ops team learns the system while stakes are low.

• Week 4-6: Production Migration
  Progressive rollout to production fleet. Start with 10% of machines, validate metrics, expand in waves. By week 6, your entire fleet runs on make87.

• Week 8+: Advanced Features
  Enable ML model management, implement canary deployments, set up A/B testing infrastructure. This is when the real ROI kicks in—features that would take months to build in‑house are now configuration changes.

Why CTOs Choose make87

Future‑Proof Architecture

Separate application logic from device hardware—pivot SKUs without rewriting deployment code. When you switch payment processors, add biometric authentication, or integrate a new inventory system, your deployment pipeline doesn't change. The same infrastructure that runs your current Java monolith will run your future microservices architecture.

Security by Default

End‑to‑end TLS, immutable release versions, and audit trails that satisfy enterprise infosec checklists. Every deployment is cryptographically signed, every rollback is logged, every configuration change is versioned. Pass your SOC 2 audit without building security theater.

Open Ecosystem

Standards‑based containers, APIs, and SDKs—retain strategic flexibility. No proprietary runtimes, no vendor‑specific formats, no lock‑in. Your containers run anywhere; make87 just makes them run better on your vending fleet. Export your telemetry to any analytics platform, integrate with any payment gateway, use any ML framework.

Talk to an Engineer in 15 Minutes

Stuck on legacy firmware or home‑grown scripts? Grab a quick call and we'll walk through your current deployment challenges. We'll show you exactly how make87 would handle your specific use case—using your actual hardware constraints and deployment requirements.

→ Pick a time

No slide decks, no sales fluff—just a frank technical huddle. Bring your gnarliest deployment problem and let's see if we can solve it.