Glide by InRiva AI — AI-Powered Operational Intelligence for Supply Chain & Fulfillment
Glide · Operational Intelligence

Identify risk sooner. Resolve issues faster. Scale operations smarter.

Glide is AI-powered operational intelligence for supply chain, distribution, and fulfillment. It continuously analyzes orders, shipments, inventory, and workflows to surface emerging issues — and recommend the next action — before they reach customers, revenue, or service levels. All without replacing the systems you already run on.

Production-ready. Proven in real operations. Runs inside your environment — you keep your data and models.

Real-time
orders, shipments & workflows, continuously analyzed
~30s
from emerging risk to a prioritized recommendation
0
rip-and-replace — Glide layers over your existing systems
In-tenancy
runs in your environment; you keep your data and models

Operational visibility isn’t enough anymore.

You have dashboards. You still find problems too late. Orders stall, shipments slip, inventory drifts, customers escalate — and teams react after the fact.

01

The data exists. The detection doesn’t.

The problem isn’t missing data — it’s continuously identifying risk across thousands of moving parts in real time. A dashboard can’t, until someone looks at it.

02

Issues surface as escalations

By the time a stalled order reaches a report or a customer’s inbox, the cheap, quiet moment to fix it has already passed.

03

Complexity outruns headcount

As operations scale, spreadsheets and manual reviews open blind spots faster than teams can staff against them.

The Shift

Operational excellence shouldn’t depend on someone noticing a dashboard.

An intelligence layer across the systems you already run.

Glide doesn’t replace your ERP, OMS, WMS, TMS, or CRM — it continuously analyzes operational activity across them to detect risk, surface inefficiency, and recommend the next best action, learning from every outcome.

Works across  ERP · OMS · WMS · TMS · CRM · Data Warehouse
Visibility

Continuous analysis

Every order, shipment, and workflow analyzed in real time against learned baselines — not static thresholds on a dashboard.

Intelligence

Prioritized risk

Emerging issues classified by severity and business impact, so teams act on what matters instead of wading through noise.

Action

Next-best action

A recommended action routed to the right person, in the tools they already use — and every outcome makes the next call sharper.

Business outcomes, not AI experiments.

Glide is measured the way operations leaders are measured — risk, speed, cost, and customer experience.

Reduce operational risk

Catch emerging issues before they become missed commitments, service failures, or customer escalations.

Increase decision speed

Hand teams prioritized recommendations instead of dashboards and reports to hunt through.

Improve customer experience

Resolve disruptions before customers ever feel the impact.

Cut operational waste

Replace manual monitoring, repeat investigations, and constant firefighting.

Scale without headcount

Absorb growing operational complexity without growing the team in proportion.

Build a durable advantage

Turn operational data into an intelligence asset competitors can’t easily replicate.

Continuous monitoring, agentic reasoning, routed action.

Beneath the intelligence is a lifecycle-monitoring engine. Glide reads every state transition, reasons through each event with specialist agents, and routes a decision — autonomously, with a full trace.

01Ingest
  • Webhooks · API · DB streams
  • Validate & normalize
  • Entity-state store
Every signal from your systems lands in one place, validated.
02Models
  • Batch retrain on history
  • Real-time scoring
  • Anomaly & ETA forecasts
Trained on your data, deployed in your own environment.
03Decision
  • LLM router + agents
  • Risk · Timing · Value
  • Orchestrator decides
Specialist agents reason; an orchestrator chooses the action.
04Action
  • Email · SMS · Slack · webhook
  • Prioritized recommendations
  • Full audit trail
Routed to where teams already work — no new inbox.

Built differently than traditional AI.

Most tools wait to be checked, fire on static rules, and leave the judgment to you. Glide reasons continuously and brings you the decision.

Traditional approach
Reactive dashboards
Static thresholds and business rules
Manual investigation
One-size-fits-all alerts
Generic AI copilots
Glide
Continuous operational intelligence
Adaptive, learned baselines
Automated risk detection
Context-aware, prioritized recommendations
Private, agentic AI tuned to your operation

Proven where operations actually run.

Order operations is the highest-volume operational lifecycle there is — and a proven application for Glide. It reads from each system and replaces none.

3PL & Fulfillment

400K+ daily orders across a global fulfillment network

Order lifecycle: received → picked → packed → shipped.
400K+
orders / day
80+
global fulfillment centers
1,700
employees served
1
in-house tech stack, untouched
Their stack — already in place
  • OMS — client-facing order managementIngest
  • ERP — master config, SLAs, SKU masterIngest
  • WMS — warehouse operations event streamIngest
  • Data warehouse — baselines, MTTR loggingModels
  • Messaging — alert delivery, AM copilot threadsAction
One stalled order, end to end.
What Glide does in the thirty seconds after a warehouse allocation stall.
T+0s
Ingest
An event arrives: stage_change (state = allocation, dwell = 18m). The event bus captures it; a serverless function writes the row to the entity-state store.
T+3s
Models
The scoring endpoint flags the dwell as 4.2σ above baseline for this client × fulfillment center × SKU class.
T+8s
Decision
Three agents reason in parallel: Risk pulls SLA tier, Timing forecasts the ETA delay, Value computes credit exposure.
T+25s
Decision
The orchestrator combines the outputs into an “AM action needed” lane and drafts a message with full context and a recommendation.
T+30s
Action
A thread opens for the account manager: “Order #4471 stalled at allocation. Suggested: reroute via FC-SHA. One tap to confirm.”
The loop closes. Accepted, declined, or escalated — the outcome writes back, and the next decision for this commodity, route, and SKU class gets sharper.

One engine, every operational lifecycle.

From supply-chain SaaS and logistics to B2B distribution and enterprise operations, the same engine applies anywhere an entity moves through stages. Swap the lifecycle, keep the engine.

Order Operations

Entity: Order
received → picked → packed → shipped

Transport & Logistics

Entity: Load / shipment
planned → scheduled → routed → delivered

Field Service

Entity: Service ticket
created → dispatched → on-site → resolved

Customer Operations

Entity: Onboarding
signed → provisioned → activated → expanded

Manufacturing

Entity: Work order
released → routed → inspected → completed

Financial Operations

Entity: Application / claim
filed → underwritten → funded → serviced

Same architecture, swap the lifecycle. One engine across every operational lifecycle.

Built by leaders who have delivered AI at scale.

InRiva AI builds agentic systems that turn operational data into measurable business value. Our leadership has built and deployed AI for Fortune 500 organizations, growth-stage technology companies, and operationally complex businesses across many industries.

Ariel Rodriguez
Co-Founder & Chief AI Officer
Ariel leads InRiva AI’s delivery of AI solutions to clients, with 25+ years building data-science teams and AI/ML products at scale. He was previously Head of Real-Time Analytics Solutions at JPMorganChase and Chief Data Scientist at Scuba Analytics, and has led data science at Jornaya (now part of Verisk) and product at Mobiquity. He holds degrees from Stanford University and the University of Puerto Rico, and is an INFORMS Certified Analytics Professional and a HITRUST Certified De-Identification Professional.
Bobby Gallagher
Co-Founder & Chief Revenue Officer
Bobby leads worldwide sales, marketing, partnerships, and customer success. He brings 25+ years of sales, marketing, and business-development experience serving customers from the Fortune 100 to SMBs, and holds undergraduate and master’s degrees from Saint Joseph’s University.
Andrew Schools
Founding Platform Engineer
Andrew brings 28 years designing, building, and deploying software — from web and mobile applications to cloud-native platforms — with a focus on security, privacy, and operational resilience. He previously held senior and leadership roles at Comcast and Fidelity, and contributed to startups including Scuba, SidelineSwap, and Edvisors.
Dawson Eliasen
Founding Data Scientist
Dawson is a data scientist with broad expertise across data and machine learning, spanning large language models, large-scale forecasting, and inferential statistics. He has worked at boutique data-science consultancies, helping companies of all sizes build machine-learning systems from the ground up.
Olga Skvortsova
Senior AI Engineer
Olga brings over 20 years in software development and data science. She was previously founder and principal developer at IFilterShop, whose data-indexing and search products were adopted by 1,500+ clients worldwide, including the U.S. House of Representatives, U.K. Ministry of Defence, Pfizer, and Bank of America.

Advisors

In addition to our core team, InRiva AI works closely with a trusted network of experienced industry and technology leaders. These advisors provide strategic guidance, industry expertise, and practical insights that help inform our product direction, customer engagements, and long-term vision.

Mike Altieri
Technology, eCommerce & Fulfillment
Mike brings more than 20 years of experience leading technology, eCommerce, and digital transformation initiatives. He helps organizations scale platforms, modernize operations, and align technology strategy with business growth across SaaS, fulfillment, and supply chain ecosystems.
Chris Cameron
Supply Chain & Logistics
Chris brings more than 20 years of global supply chain, logistics, and software experience spanning 40+ countries. He specializes in connecting operational strategy, logistics execution, and technology to help organizations improve efficiency, visibility, and profitability across complex supply chain networks.

See Glide working on your data.

Most operational issues are already visible in your systems — the challenge is catching them before they reach customers, revenue, or service levels. Book a Glide demonstration on your own data and see operational intelligence in action.

Start your operational intelligence journey

See which operational risks Glide would surface on your own data, get working software in weeks, and keep complete control of where it runs. Predictable pricing, no vendor lock-in, no data leaving your environment.

Request a consultation

Disclosures

Equality Statement

At InRiva AI, we believe in fair treatment of all our stakeholders and are committed to the principles of equity with our clients and in our contracting and employment practices. We do not discriminate on the basis of race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Our equality policy applies to our work with clients, hiring, training, remuneration, promotion, layoffs and contract termination.