Salary Range: 104000 to 145333 (Currency: USD) (Pay period: per-year-salary)

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

The impact of the Revenue Strategy & Analytics Director :

Location: Remote (Americas time zones) — some travel required

Type: Individual contributor (no direct reports)

About the Role:

The Revenue Strategy & Economics Director is the quantitative backbone of how Coupa decides where to put its next go-to-market dollar. This role builds and owns the scenario models behind the Revenue org's hardest investment questions: what does another ten AEs in a given segment actually return, and when; which segments and geos are earning their cost of coverage; whether a change pays for itself, and in what year.

Core scope is the Sales organization; however, it is rapidly expanding to serve other parts of the business (e.g., Partners, Value Solution Advisory, and Customer Success).

It is a modeling and judgment role, partnering closely with RevOps Intelligence and FP&A for data and decision-making. The deliverables are recommendations with the math behind them: sized, sensitivity-tested, and framed so the COO, CRO, and CFO can act on them. You'll work within the Revenue Strategy & Planning team that maintains the roster, quota, and bookings infrastructure and serve as RevOps's primary quantitative POV in the annual planning cycle. Your job is to make sure the investment decisions that flow into it are the right ones, and that the assumptions underneath the plan hold up

What You'll Do:

1. Revenue Investment Scenario Analysis — End to End

Build and own the investment scenario models the Revenue org uses to evaluate GTM spend — headcount adds, segment and geo expansion, coverage-model changes, overlay and specialist roles, partner leverage
Structure each question as a set of explicit, comparable scenarios — base, upside, downside — with stated assumptions, sensitivities, and the break-even conditions that would flip the answer
Translate models into recommendations: what to fund, what to defer, what to stop, and the expected bookings and efficiency impact of each path
Own the analysis — partnering with RevOps Intelligence to source the data, building the model, pressure-testing it, and presenting it to CRO- and CFO-level stakeholders who will push back on the math

2. Capacity, Coverage & Headcount ROI

Model productive capacity by segment, geo, and role — ramp curves, attrition and backfill lag, quota coverage, and the gap between paper capacity and capacity that will actually carry a number
Quantify the marginal return on the next hire: where the next AE, SE, SDR, or overlay dollar produces the most incremental bookings, and where coverage is already saturated
Build the headcount investment case Revenue leadership takes into budget conversations — including what the plan does not fund and the quantified cost of that choice
Stress-test capacity plans against hiring reality: what the number looks like if recruiting lands 70% of plan, or lands it a quarter late

3. Productivity & Efficiency Economics

Own the productivity analytics that explain yield — time to first deal and to full productivity, attainment distribution, win rates and cycle length by segment, and the drivers behind each
Quantify the bookings cost of attrition and territory disruption, and the return on retention, enablement, or ramp-acceleration investments
Interpret the efficiency metrics leadership is held to — cost per dollar of bookings, sales efficiency, CAC payback — and explain what is actually moving them rather than restating that they moved
Separate signal from noise: distinguish structural productivity differences from territory quality, deal mix, and single-deal effects

4. Cost of Sale Economics

Own Coupa's granular understanding of what a dollar of bookings actually costs us — by product, segment, and motion — once the coverage model, specialist overlays, and center-of-excellence SMEs behind that product are loaded in
Compare cost per dollar of bookings across products and motions, and turn that into a point of view on where to invest coverage, which overlays earn their keep, and where the go-to-market around a product costs more than the product returns
Hold the seller-level detail that makes this real: role from the sales roster, coverage from territory assignment, the SKUs each seller carries in their bag, and actuals from RevOps Analytics and Finance
Because that detail lives here, this role produces the authoritative statement of who gets paid what at month- and quarter-end for the complex overlay and specialist cases standard comp plans don't cleanly resolve
That calculation is an interim anchor, not a permanent one — the goal is to hand it to Sales Comp following their implementation of Anaplan for commissions calculations, and this role builds the methodology that makes the handoff clean

5. GTM Model & Routes-to-Market Analysis

Model coverage and route-to-market alternatives before they become decisions — new-business/expansion splits, accounts-per-rep ratios, overlay and specialist coverage, hybrid and partner-led motions
Size addressable opportunity against realized yield by segment and vertical — where the market says invest versus where our own conversion says we can win
Quantify the transition cost of a model change, not just its steady state: disruption, re-ramp, and attainment risk in the year of the change
Build the analytical evidence base for segmentation, account-tiering, and specialization decisions

6. Analytical Partnership to the Planning Cycle

Serve as the primary quantitative input into the annual territory and quota-setting cycle — capacity assumptions, productivity and ramp curves, coverage ratios, and quota-load sanity checks
Pressure-test the plan before it goes out: does the bookings target reconcile to the capacity and productivity assumptions underneath it, and where is it fragile
Partner closely with GTM Readiness, FP&A, and Comp — you supply and defend the analytical assumptions; they own cycle execution, roster, and quota allocation
Reconcile the plan's math to FP&A's revenue model and surface divergence early, not in the QBR

7. Data & Analytical Craft

Build your own data — write the SQL, stand up the Sigma/Tableau views, and get to a trustworthy dataset without waiting in a reporting queue
Establish reusable models and consistent definitions so recurring investment questions get answered in days rather than weeks, and the same question gets the same answer twice
Document methodology so a model survives Finance-grade scrutiny and can be re-run by someone other than you

8. M&A and Inorganic Analysis

Model the GTM impact of acquisitions — combined-org capacity and coverage, cross-sell and attach assumptions, and a realistic ramp on the synergy case
Pressure-test deal-model GTM assumptions against what our own productivity data says is achievable
Support integration decisions with analysis on territory consolidation, account mapping, and coverage design

What You Will Bring to Coupa:

Exceptional quantitative modeling ability. You structure ambiguous questions into scenarios, and are rigorous about assumptions, sensitivities, and what the model cannot tell you. Anaplan experience strongly preferred.
Fluency in SaaS revenue mechanics: ACV versus bookings versus revenue, pipeline coverage and conversion, quota and capacity math, ramp, attainment distribution, CAC payback and sales efficiency
Fluency in the mechanics of seller economics — quota credit and splits, overlay and specialist crediting, SKU-level bag definitions — and the ability to reconcile calculated payouts against finance actuals
Judgment, not just math — you identify which question actually matters, take a position, and defend it with senior stakeholders
5–8 years in a quantitative, revenue-facing role, weighted toward RevOps or Sales Strategy in B2B SaaS — Strategy consulting, banking or PE, corporate strategy, and FP&A backgrounds fit if paired with real operational exposure to how GTM works (territory balancing, how sellers get credited and paid, etc)
Expert Excel/Google Sheets — multi-scenario models with structure someone else can audit; SQL and a BI tool (Sigma, Tableau, Looker) used in practice, not just understood conceptually
Can turn a model into a short executive argument — the recommendation, the two numbers that matter, and an articulation of what is still unknown
Precision against a close calendar: while the commission calculation sits here, the output gets paid to people and reported upward, so it has to be right, reconcilable, and defensible line by line
Comfort operating in ambiguity and owning an analytical agenda without a playbook already written

Nice-to-haves:

Experience with planning tools (Anaplan, Pigment, or similar), particularly capacity and quota modeling in them
Working familiarity with Salesforce data — opportunity, account, and hierarchy structures as they actually behave
Python, R, or dbt for heavier data work
Exposure to M&A diligence or GTM integration
Experience presenting to a CRO, CFO, or board audience

What This Role Is Not:

It is not a Sales Leader-supporting Business Partner role focused on forecasting, performance management, QBRs, etc
It is not a data-modeling or dashboard-building role — standing BI content and recurring performance reporting are not the deliverable
It is not a systems administration or Salesforce configuration role

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

At Coupa, we are 100% committed to creating and nurturing an environment that supports your physical, mental, and community well-being. We offer a comprehensive suite of benefits designed to help you and your family thrive:

Global Well-Being Perks (For All Employees Globally)

Global Wellness Days: Enjoy two designated, company-wide paid wellness days off each year (typically the first Friday in March and the last Friday in September) so the entire global team can unplug, step away, and recharge together .
Birthday Time-Off: Celebrate your day! Coupa provides a paid day off on your birthday or another day of your choice within your birthday month .
Volunteer Time Off (VTO): Giving back is in our DNA. We offer 40 hours of paid VTO annually to support the community initiatives and volunteer programs you are passionate about .
Employee Assistance Program (EAP): Access free, confidential, 24/7/365 counseling and resources for emotional support, work-life solutions, financial advice, legal guidance, and support for new parents .
Business Travel Protection: Travel with peace of mind. Zurich Travel Assist provides medical, safety, pre-trip planning, and emergency support during any business travel .
Referral Bonus Program: Share the Coupa experience! Receive generous monetary referral bonuses when you successfully refer talented friends or acquaintances who are hired into open roles .

Please note: In addition to these global well-being perks, Coupa offers highly competitive, location-specific benefits packages (which include comprehensive medical/dental insurance, retirement/pension plans, and life or accident protection) tailored to your primary work location. Your recruiter will walk you through the specific regional benefits package for this role during the interview process.

Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.

Please be advised that inquiries or resumes from recruiters will not be accepted.

By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.

About the company

Coupa Software offers a cloud-based spend-management platform that unifies procurement, invoicing, and expense management in one SaaS suite. It runs in the cloud via subscriptions, letting companies manage purchasing, supplier payments, and expense tracking from a single interface. The platform standardizes workflows, catalogs, approvals, and real-time visibility, reducing the need for separate tools. The goal is to help organizations cut costs and improve financial efficiency by making spend processes more transparent and easier for employees to participate in.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

San Mateo, California

Founded

2006

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Simplify's Take

What believers are saying

August 24 2026 release delivered 250+ AI changes and 450+ production customers.
Customers report 50% requisition and 40% sourcing cycle-time cuts from Navi agents.
Spend Pulse and autonomous sourcing strengthen Coupa’s 2026 AI procurement leadership narrative.

What critics are saying

August 24 2026 CEO Leagh Turner exited; interim Mike Lipps adds execution uncertainty.
SAP Ariba, Zip, and Workday are attacking procurement orchestration and agent discovery.
If autonomous sourcing disappoints after the 2026 launch, Coupa becomes another expensive suite.

What makes Coupa Software unique

Coupa’s 11 million-buyer supplier network and $10 trillion spend dataset create switching costs.
August 2026 MCP integration lets external AI agents use Coupa securely across workflows.
Acquisitions of Cirtuo, Scoutbee, Rossum, and Tonkean deepen source-to-pay orchestration.

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Benefits

Insurance Package
Family Support
Legal Assistance
Student Loan Assistance
Employee Assistance
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Company News

Coupa

Sep 21st, 2026

Coupa named a Leader in the IDC MarketScape: Worldwide AI-Enabled Direct Spend 2026 Vendor Assessment.

Coupa named a Leader in the IDC MarketScape: Worldwide AI-Enabled Direct Spend 2026 Vendor Assessment. By: Coupa Editorial Team Table of contents. Imagine trying to navigate a stormy sea with three different captains who can't speak to each other. This is what managing modern direct spend feels like for many global companies. Leaders are forced to coordinate complex bills of materials (BOMs), manage supplier risks, and execute purchase orders across disconnected, siloed systems. In today's economy, this disjointed approach is a major business risk that traps value, hides critical supply chain vulnerabilities, and slows down production. Overcoming these challenges requires a shift where businesses move away from fragmented systems to adopt a unified, intelligent approach to spend management. Success starts with creating and implementing a clear category strategy to align your buying power, supplier relationships, and operational goals before initiating purchases. Coupa Software Incorporated believe its commitment to this shift is why Coupa is recognized as a Leader in the IDC MarketScape: Worldwide AI-Enabled Direct Spend 2026 Vendor Assessment (doc #US54900426, September 2026). See why the 2026 IDC MarketScape named Coupa a Leader in AI-Enabled Direct Spend. Learn how a unified platform can help you uncover hidden risks and eliminate manual PO execution. The true cost of siloed direct spend. Direct materials procurement is inherently complex. Unlike indirect procurement, a delay in a single direct material can halt an entire production line. Yet, most organizations still struggle with three core points of friction: * Siloed sourcing and blind spots: When category planning happens in isolation, teams cannot build a cohesive category strategy. This lack of alignment makes it impossible to optimize sourcing decisions, collaborate effectively across different lines of business, or set the organization up for long-term success. * Hidden supplier risks: Without a single, unified view of your supplier network, it is incredibly difficult to spot financial risks, proactively identify supplier issues, evaluate geopolitical disruptions, or vet sustainability metrics before they cause damage. * The burden of complex PO changes: Managing purchase order changes across complex bills of materials (BOMs) is often highly manual. Sifting through spreadsheets and emails to keep suppliers aligned wastes critical time and resources. These challenges increase risk and prevent businesses from moving with the agility the market requires. Making the shift to building true value requires connecting the dots between design, category management, sourcing, and execution. Move from chaos to cohesion. Coupa solves these challenges by bringing the entire Strategy-to-Pay lifecycle onto a single connected digital thread. The IDC MarketScape assessment highlights that "Coupa's value proposition centers on being a single, unified Total Spend Management platform that connects direct materials procurement directly to category strategy, sourcing optimization, contracting, invoicing, and community-scale benchmarking data - positioning direct spend as one deeply integrated capability set rather than a siloed point solution, differentiated by the breadth of its cross-customer Community Intelligence dataset." By uniting these processes, Coupa helps organizations transform work: * See everything in one place: Bring direct and indirect spend together to eliminate blind spots and make faster, more informed category decisions. * See risk before it strikes: Protect your supply chain with AI that proactively identifies potential supplier disruptions and suggests alternative paths before your operations are impacted. * Automate the tedious work: Streamline complex PO changes across your bill of materials, freeing your teams to focus on strategic relationships rather than manual paperwork. * Make decisions with AI you can trust: Move forward confidently with transparent AI that explains its reasoning, giving your team complete control over automated sourcing recommendations. Why Coupa Software Incorporated believe IDC positioned Coupa as a Leader. Third-party recognition helps cut through the noise. The 2026 IDC MarketScape assessment highlights several strengths for Coupa: * Scale of community transaction data: Community Intelligence, built on a figure cited variously as $8 trillion to 10 trillion in anonymized spend data across 10+ million buyers/suppliers, underpins benchmarking, supplier deduplication (8+ million normalized records), fraud detection, and price recommendations that are difficult for smaller competitors to replicate. * Deep, configurable order-type and PO-collaboration support: Native support for scheduling agreements, consignment/VMI orders, subcontracting POs, goods movement, and stock transfer orders, plus line-level PO collaboration through the Coupa Supplier Portal, addresses common direct materials transaction patterns without custom development. * Explainability-focused AI design for sourcing/planning: Use of deterministic MILP solvers alongside generative AI, plus a patent-pending approach to managing LLM "reasoning capacity utilization" to reduce hallucinations in Supply Chain Design & Planning. Managing direct spend can be seamless. By bringing procurement, supplier relationships, and risk management onto a unified platform, your supply chain can turn from a vulnerability to a competitive advantage.

The Mirror Democrat and Savanna Times-Journal

Sep 15th, 2026

Xometry marketplace enables deeper enterprise integration and smart procurement with TradeCentric.

Xometry marketplace enables deeper enterprise integration and smart procurement with TradeCentric. * 3 hrs ago * TradeCentric enables Xometry customers to streamline purchasing and invoicing (PunchOut, Purchase Order Automation, and Invoice Automation) directly within their existing eProcurement systems, reducing manual data entry and friction. * The integration connects with 220+ eProcurement solutions, including Coupa, SAP Ariba, and Microsoft Dynamics, letting buyers source custom manufacturing directly through their eProcurement portal. * According to TradeCentric data, companies that use PunchOut reduce time spent on purchase order management by 80%, freeing procurement teams to focus on higher-value work. NORTH BETHESDA, Md., Sept. 15, 2026 (GLOBE NEWSWIRE) - Xometry, Inc. (NASDAQ: XMTR), the global AI-native marketplace connecting buyers and suppliers of custom manufacturing, announced an expanded partnership with TradeCentric, adding Purchase Order Automation and Invoice Automation to the PunchOut capability already available between Xometry's marketplace and its customers' eProcurement systems. TradeCentric is a leading provider of B2B eProcurement integration solutions, connecting enterprise buyers and suppliers to efficiently and securely manage orders, catalogs, and transactions. Trusted by businesses worldwide, TradeCentric simplifies the way companies transact to streamline operations and increase profitability. PunchOut, Purchase Order Automation, and Invoice Automation: Direct From Customers' eProcurement Systems With TradeCentric, Xometry customers can PunchOut directly into Xometry's marketplace from their eProcurement systems to seamlessly configure parts and generate a quote, then send their cart back as a requisition for internal approval and purchase order creation. Now with the expanded partnership, Xometry customers also have purchase order and invoice automation options to receive electronic invoices, eliminate manual data entry, shorten the reconciliation timeline, minimize exceptions, and improve three-way matching. TradeCentric's integration works with all major systems, including Coupa, SAP Ariba, and Microsoft Dynamics, as well as 220+ other eProcurement solutions, ensuring orders are securely transmitted, accurate, and easy to manage across enterprise environments. "Establishing Xometry as the digital infrastructure for custom manufacturing means meeting our customers directly within the tools and enterprise workflows they rely on every day," said Sanjeev Singh Sahni, CEO of Xometry. "Expanding our integrations with TradeCentric brings Xometry directly into our customers' existing eProcurement systems to streamline purchasing, reduce operational friction, and accelerate product development at scale." "The seamless connection between Xometry and our procurement system has transformed how we manage our custom manufacturing orders. The ability to PunchOut to Xometry's marketplace ensures that our team can source components instantly while staying fully compliant with our internal spend workflows. We've seen an increase in productivity now that our buyers can finalize complex orders quickly, ensuring our projects stay on schedule and under budget," said Chet Bejtlich, Senior Consulting Engineer of Entegris. "At TradeCentric, we're focused on helping organizations accelerate results by making it easier to do business with their buyers," said Elizabeth Segovia, CEO of TradeCentric. "Our collaboration with Xometry delivers intelligent eProcurement integration that empowers enterprise buyers and suppliers to connect, transact, and innovate faster. By eliminating integration complexity and operational friction, we're creating new opportunities for suppliers to drive revenue growth and efficiency at scale across the manufacturing ecosystem." The integration is available now for Xometry customers in the U.S. and expanding to international markets. Learn more at Xometry.com or book a demo today. About Xometry Xometry's (NASDAQ: XMTR) AI-native marketplace, popular Thomasnet(R) industrial sourcing platform and suite of cloud-based services are rapidly digitizing the manufacturing industry. Xometry provides manufacturers the critical resources they need to grow their businesses and streamlines the procurement process for buyers through real-time pricing and lead time data. Learn more at xometry.com or follow Xometry on LinkedIn. About TradeCentric TradeCentric helps enterprise suppliers integrate commerce and accelerate results by making it easier to do business with their buyers. Its platform delivers intelligent eProcurement integrations that connect eCommerce and procurement systems through solutions like PunchOut, Purchase Order Automation, and Invoice Automation. Built with intention and designed to scale, TradeCentric eliminates integration complexity and operational friction, enabling suppliers to grow revenue, drive efficiency, and power results in a new era of B2B growth. Learn more at TradeCentric.com and follow on LinkedIn. Media Contact Lauran Cacciatori VP Communications 773-610-0806 Investor Contact Shawn Milne VP Investor Relations 240-335-8132

Gritnord

Sep 11th, 2026

Agent-to-Agent commerce in B2B: how AI procurement agents are changing vendor selection in 2026.

Agent-to-Agent commerce in B2B: how AI procurement agents are changing vendor selection in 2026. Agent-to-agent commerce in B2B refers to automated commercial transactions where an AI-powered buying agent - deployed by a purchasing organisation - discovers, evaluates, and initiates contact with v Gritnord Team September 11, 2026 Agent-to-agent commerce in B2B refers to automated commercial transactions where an AI-powered buying agent - deployed by a purchasing organisation - discovers, evaluates, and initiates contact with vendors without human involvement, while a corresponding AI selling agent responds on behalf of the vendor. As of 2026, this model is operational at enterprise scale, driven by platforms including Coupa, SAP Ariba's Joule integration, and OpenAI's Operator product, and it is beginning to affect how mid-market B2B vendors are discovered, shortlisted, and engaged. Why agent-to-agent commerce is no longer theoretical. Enterprise procurement teams at Fortune 500 companies are deploying AI agents to handle intake-to-purchase-order workflows for repeat vendors and software renewals. OpenAI's Operator, commercially expanded in early 2026, is executing live procurement sequences under defined spend thresholds - typically sub-$25K - without human sign-off. On the vendor management side, Coupa launched its Agent Marketplace in Q2 2026, allowing enterprises to deploy pre-vetted purchasing agents with role-scoped permissions. SAP Ariba's Joule integration now handles vendor shortlisting and RFQ generation autonomously for catalogue items. Zip, a procurement intake platform, has shipped an AI agent layer covering the full intake-to-PO cycle for repeat vendors. The implication for B2B sellers: an automated agent is now running the first stage of vendor evaluation at a growing number of enterprise accounts. If your product is not visible to that agent, you are not in the shortlist. How AI purchasing agents actually discover vendors in 2026. The discovery layer for agent-to-agent commerce is currently fragmented across three mechanisms: Vendor registries and agent directories. AGNTCY - an open agent directory backed by Cisco and LangChain - is emerging as a public index where vendors publish machine-readable capability cards. These cards contain pricing tiers, API endpoints, compliance certifications, and SLA parameters. Buying agents query these directories the way a human might search G2. Platform-native marketplaces. Coupa's Agent Marketplace and SAP Ariba function as curated procurement environments. Vendors listed here are accessible to enterprise buying agents by default. Not being listed is equivalent to not existing within that procurement stack. MCP (Model Context Protocol) connectors. Anthropic's MCP has become the de facto integration protocol for enterprise agent tooling. HubSpot, Salesforce, and SAP have all shipped native MCP connectors as of Q3 2026, with over 4,000 MCP servers now registered in public directories. A buying agent can call directly into a vendor's product catalogue or pricing API as a tool call - no human demo required. The agent-to-agent transaction: discovery, negotiation, and contract. Once a buying agent identifies a candidate vendor, the transaction follows a structured sequence: Negotiation is not conversational. Buying agents submit JSON-schema RFQs - structured requests for quotation - and selling agents respond with qualified offers inside defined parameters. Google's A2A (Agent-to-Agent) protocol, currently at v0.9, defines the message format, task lifecycle, and capability declaration for these exchanges. Contract execution remains the weakest layer. Most live deployments rely on pre-approved master agreements, with agents filling variable fields such as volume, term, and price. DocuSign has an agent API in beta that allows an authorised agent to execute against pre-signed framework agreements, but full autonomous contract signing is not yet standard. Settlement for software purchases uses Stripe's agent billing primitives - metered, credentialed API keys with spend limits - as the dominant mechanism. Physical goods remain human-gated. The critical gap is authentication. There is no cross-platform standard for verifying an agent's authority or its principal's identity. Enterprises are managing this with human ratification checkpoints, which limits full autonomy but keeps transactions auditable. What this means for B2B sales teams at mid-market saas companies. For VP Sales and founders at companies with €5M-€30M ARR, the operational priority in the next six to twelve months is not building a fully autonomous selling agent - it is ensuring your product is legible to buying agents running automated shortlisting. Immediate actions: * Publish a machine-readable product data layer: pricing, packaging tiers, compliance documentation (SOC 2, ISO 27001, GDPR alignment), integration specs, and SLA parameters - accessible via API or structured webpage. * Evaluate whether your target enterprise accounts use Coupa, SAP Ariba, Zip, or Workday procurement agents, and pursue listings in those environments. * Audit your HubSpot or CRM data layer. If your product details are not structured consistently, a buying agent calling your MCP connector will return incomplete or conflicting data. Tools like Clay are already enabling agent-to-agent handoff workflows - a sales agent initiates contact with a buying agent endpoint, and the two systems assess fit before escalating to a human. This is not science fiction; it was shipped in June 2026. The open problems that still require human oversight. Three unresolved issues limit full agent-to-agent autonomy in 2026: Pricing negotiation between agents is absent in real production deployments. Agents accept listed prices or follow rigid discount schedules. Dynamic negotiation requires intent verification that does not yet exist at scale. Liability for agent-executed deals - wrong pricing tier, incorrect contract term - is legally unresolved in every major jurisdiction. Enterprise risk teams are managing this with human ratification gates. Discovery fragmentation means that AGNTCY, Coupa, MCP directories, and proprietary vendor APIs are not interoperable. A buying agent must be configured per vendor, which remains the immediate bottleneck for widespread adoption. Frequently asked questions. What is agent-to-agent commerce in B2B? Agent-to-agent commerce in B2B is an automated process where an AI buying agent deployed by a purchasing company discovers, evaluates, and initiates commercial contact with a vendor, while the vendor's AI selling agent responds - completing stages of a transaction without human involvement on either side. Which enterprise platforms are deploying AI purchasing agents in 2026? Coupa, SAP Ariba (via Joule), Zip, Workday, and ServiceNow have all shipped AI procurement agent functionality in production as of 2026. OpenAI's Operator is also running live procurement workflows at several Fortune 500 accounts. How do AI buying agents discover vendors? Buying agents query vendor registries such as AGNTCY, platform-native marketplaces like Coupa's Agent Marketplace, and MCP-connected product APIs. Vendors must publish machine-readable capability cards - structured data covering pricing, compliance, and integration specs - to be visible. What is the A2A protocol and why does it matter? Google's Agent-to-Agent (A2A) protocol, currently at v0.9, defines the message format, task lifecycle, and capability declarations for structured exchanges between buying and selling agents. It is the closest thing to a universal standard for agent-to-agent B2B negotiation. Do B2B sales teams need to build a fully autonomous selling agent now? No. The immediate priority is ensuring your product data is machine-readable and structured for agent discovery. A selling agent can begin as a simple endpoint that escalates to humans - the interface must exist, but full autonomy is not yet required or standard. The shift from human-mediated sales to agent-mediated discovery is not arriving all at once. It is layering into existing procurement stacks quietly - starting with renewals, tail spend, and catalogue purchases. B2B sellers who structure their product data for machine readability now will be shortlisted by buying agents that their competitors never even knew were running.

Coupa

Sep 9th, 2026

Network Routing Optimization: go from raw data to actionable insight.

Network Routing Optimization: go from raw data to actionable insight. By: Sulaiman Panjwani Senior Product Marketing Manager Table of contents. Every logistics executive has felt this pain: Your network design team delivers a "fully optimized" blueprint for your distribution facilities, only for your transportation team to take one look at it and say, "This is completely unexecutable on the road." For decades, supply chain organizations have been forced to treat network footprint design and transportation routing as two completely disjointed, sequential decisions. * Network Optimization (NO) software typically assumes simplified, point-to-point shipping costs. It lacks the granular math required to accurately model multi-stop routing (like milk runs), fleet limits, or driver regulations. * Transportation Optimization (TO) software understands these route-level details perfectly, but it operates in a vacuum. It cannot factor in overarching enterprise constraints like plant production capacity, inventory holding costs, or multi-echelon network flows. The result? A costly, highly inefficient loop where modeling teams are forced to manually iterate back and forth between NO and TO five or more times. This slow, manual process delays critical decisions and creates a dangerous gap of "inconsistent costs," where the strategic financial projections approved by leadership do not match actual operational execution on the road. Unifying strategy and execution: Introducing Coupa NRO. To permanently bridge this gap, Coupa has introduced Network Routing Optimization (NRO). Network Routing Optimization (NRO) is a powerful, cloud-native problem type that unifies strategic Network Optimization and tactical Transportation Optimization into a single decision model. NRO is a powerful, cloud-native problem type that unifies strategic Network Optimization and tactical Transportation Optimization into a single decision model. Instead of treating logistics and facility design as sequential steps, NRO dynamically evaluates precise multi-stop routing costs, fleet limitations, and driver constraints simultaneously alongside overarching network variables. By natively embedding TO constraints within the strategic NO solver, NRO supports: * True cost structures: Stop costs, distance-based costs, and duty-time costs * Fleet limitations: Vehicle capacity limits, average speeds, maximum travel time, maximum distances, and maximum stop counts * Regulatory & safety compliance: Hours of Service (HOS) regulations, including maximum drive time per shift, maximum duty time per shift, and mandatory minimum break times This unified approach is powered by four unique, cloud-native capabilities that redefine the standard for supply chain modeling: * Multi-stop route sampling: Rather than relying on simple point-to-point assumptions, NRO evaluates realistic, multi-stop route candidates directly within the overarching network model. * Parallel route generation: Instead of running sequential, time-consuming simulations, NRO utilizes Coupa's powerful Joule cloud infrastructure to generate route options in parallel, drastically accelerating solver speeds. * Automated output merging: Once the optimal routes are identified, the engine automatically adjusts and merges the chosen route data into your network optimization files. This provides a frictionless, ready-to-execute dataset for your downstream teams. * Frictionless commercial packaging: Coupa has eliminated any adoption barriers. NRO is available within SC Modeler at no additional cost. It is natively embedded under the standard Network Optimization umbrella, and each NRO run counts as exactly one solve against your existing limits. Real-world ROI. By solving the strategy-to-execution disconnect, NRO delivers massive operational efficiency and immediate margin protection: * Unmatched solve-time reductions: By completely eliminating the manual back-and-forth between planners and routing teams, NRO slashes time-to-value. In enterprise validations simulating five iterations, NRO drove an 84.5% reduction in solve times for a leading specialty chemical manufacturer, and a 34.06% reduction for a global food and beverage enterprise. * Significant cost reductions: Because traditional network design locks in sourcing decisions too early, it misses global optimization opportunities. NRO optimizes holistically, delivering a 40.36% reduction in NO costs for DHL for a global logistics provider, and a 41.73% reduction in TO costs for a global food and beverage enterprise. If your distribution network relies heavily on last-mile deliveries, retail store replenishment, or multi-stop inbound milk runs, continuing to design your supply chain on disjointed legacy systems actively erodes margins.With Coupa NRO, the network you design is the exact network you actually build and run. Enhancing tactical freight agility: Relay hubs and tractor-trailer optimization. Long-haul freight rarely moves in a straight line. Drivers hit DOT hours-of-service limits, need to get back to their domicile, or sit idle while trailers wait for loading. To complement strategic NRO modeling, Coupa has also introduced two new tactical capabilities within Transportation Optimization. 1. Keep freight moving with relay hubs. Picture a shipment that has to travel farther than any single driver can legally go in one shift. Traditionally, that meant either breaking DOT rules, delaying the load, or manually coordinating a driver or trailer swap partway through the trip. Coupa's new relay-hub functionality automates that coordination. You define a set of candidate relay hubs, and the solver figures out which hub should serve each customer. The system automatically routes the swap so the shipment keeps moving without breaking the load or violating driving-time and domicile rules. The result: Longer routes become possible, compliance stays intact, and freight doesn't sit and wait for a workaround. 2. Optimize tractors and trailers as what they are: Separate assets. Tractors and trailers are two different resources with two different utilization stories, but most optimization software has forced them into a single bundled unit. This makes it difficult for logistics teams and 3PLs to optimize trailer utilization independently. Coupa now optimizes tractors and trailers as separate assets, each with its own route, while still respecting every shared constraint between them. This means you can see, and optimize, tractor utilization independently. Early access results have been excellent. The solver can drop a trailer at a yard for staged loading or unloading and immediately send the tractor on its next shuttle move, without forced idle time. Or it can drop the trailer, send the tractor off to complete a customer delivery, and bring it back later to pick the original trailer back up. The tractor stays productive, and the trailer gets staged exactly when needed. The result: Tractor idle time is eliminated, trailer staging becomes seamless, and asset utilization increases across your entire fleet. Ready to unify your network design and transportation routing?

Built In SF

Sep 3rd, 2026

Coupa's Chief Information officer featured by Women We Admire.

Coupa's Chief Information officer featured by Women We Admire. The organization highlights women executives and leaders across the U.S. and Canada. Published on Sep. 03, 2026 Rose Velazquez Coupa, a company specializing in AI-powered spend management software, recently had one of its executive leaders featured by Women We Admire, a member-led network of women executives and leaders based in the U.S. and Canada. Amy Sweeney, Coupa's senior vice president and chief information officer, was listed among The Top Women Chief Information Officers of 2026. As enterprise organizations continue innovating digital solutions to stay competitive in the modern age, chief information officers are investing in artificial intelligence, data infrastructure, cybersecurity, cloud platforms and optimizing critical systems. Women We Admire's 2026 CIO honorees are spearheading technology functions that support their organizations' global operations, strengthen their business performance and equip them for advanced enterprise computing. At Coupa, Sweeney leads technology initiatives and the company's global IT organization, overseeing infrastructure, business applications, data and analytics, enterprise architecture and program management. She served as vice president of business systems at Dynatrace before joining Coupa, bringing three decades of business operations and technology leadership to the company.

Coupa Software

Revenue Strategy & Analytics Director

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