Nick Angeli /labs

ADE API Yield Optimization

Securing Yield on SIRVA’s Marketing Spend

This page explained in 3 parts:

The Problem: SIRVA invests millions generating premium relocation leads, but local agents lose up to 30% to “no-contact” decay. In a contracting moving market with hyper-short consumer attention spans, manual dispatch latency at the local Agent level is fatal to ROI.

The Solution: A zero-disruption “sidecar” orchestration layer. It bolts directly onto SIRVA’s existing ADE API, intercepting leads the exact second they are dispatched and executing a perfect, automated first-contact Standard Operating Procedure (SOP) via Voice AI.

The Opportunity: The complex orchestration logic is already built. We are requesting UAT sandbox access to validate the payload flow, allowing SIRVA to see how easily they can plug this 30% network-wide sales leak without disrupting a single agent’s workflow.

Sirva Agent Locations Nationwide 2026

01 / Data Decay Analysis

SIRVA Spends Millions in Marketing. Agents Still Lose 30% of Leads at the Handoff.

SIRVA successfully does the heavy lifting: spending millions in marketing to generate high-intent leads and delivering them via Move Scout Pro. The breakdown occurs downstream.

A forensic audit of two years of pipeline data at a single Allied agent confirmed this terminal-level decay.

35% no-contact decay rate on qualified leads
272 post-proposal deals with zero follow-up
$3.1M total revenue attrition at one terminal

REAL DATA from ONE AGENT LOCATION

30% Lost To No Contact

At a single agent location, recovering 30% of the leads lost to first-contact decay represents over $1M in pipeline recovery. Across the network, the aggregate impact on SIRVA’s lead utilization yield is significant, and achievable without any incremental marketing spend.

This is not a lead quality issue; it is a local execution issue. Move coordinators are human. They wear too many hats, and relying on them to manually parse, assign, and instantly call every lead is a structural failure point—especially during peak summer seasons.

02 / The Root Cause & The Peak Season Crisis

If Contact Isn’t Automated and Instant, Shippers Move On.

SIRVA’s Agent Data Exchange (ADE) API successfully transmits OpportunityCreated events and GetOpportunityDetail payloads. However, local agents do not utilize the API for automated routing.

During peak moving season, a sudden influx of last-minute quote requests completely overwhelms the local Agent’s manual dispatch capability. Consumers have incredibly short attention spans. By the time a local coordinator spots the lead and hands it to a salesperson, the critical 5-minute speed-to-lead window has closed.

The lead SIRVA paid to acquire is wasted.

03 / Solution: The API “Sidecar”

A Zero-Disruption Orchestration Layer

To fix this, we do not ask agents to change their behavior or learn new software. Instead, we built a seamless “sidecar” solution that bolts onto the existing data flow.

Manually calling and qualifying leads is repetitive grunt work for an overworked coordinator. Our Voice AI executes a flawless first-contact SOP perfectly every single time, scaling infinitely during peak season volume surges,

INTERCEPT: The architecture hooks into the ADE event queue, capturing the payload the millisecond SIRVA dispatches it.
EXECUTE: An autonomous, conversational voice agent triggers instantly. It is context-aware and branded to the local terminal, satisfying the consumer’s demand for immediate gratification.
EXTRACT: The AI executes a perfect 10-point data qualification SOP, eliminating human error or omission. Average call duration: 3 min 30 sec.
DELIVER: The enriched payload is pushed directly to the agent’s CRM or coordinator.

INTERCEPT

Webhook Push or Active Polling

EXECUTE

Autonomous Voice Routing

Conversational voice agent triggers within 60 seconds of the OpportunityCreated event. Branded to the local terminal. Not a generic robocall; a context-aware, conversational interaction that introduces the local agent – extraxts info – confirms appointment and instnatly routes calls when required.

EXTRACT

10-Point Data Qualification

Captures move date, dwelling type, bedroom count, packing requirements, fragile items, special inventory, outdoor items, appliances, storage, and vehicle transport needs. Average call duration: 3 min 30 sec.

DELIVER

Structured Payload to Agent CRM/email/etc

Qualification data merged with original ADE opportunity fields. Delivered as a structured payload via email, SMS, or CRM webhook. Salesperson receives a complete brief, not a raw lead.

Who Benefits and How

Stakeholder	Their Win
SIRVA Corporate	Higher yield on existing marketing spend. First-ever visibility into terminal-level contact performance. Zero capital expenditure.
Agent Owner	Recovered revenue from leads already paid for. Stronger business valuation. One recovered contract pays for 6-24 months of service.
Move Coordinator	Saves ~20 min per lead. Eliminates repetitive intake calls. Frees time for logistics and dispatch, especially during peak season.
Salesperson	Receives a complete 10-point logistical manifest instead of a name and phone number. Customer is already expecting their call.
Operations / Dispatch	Capacity intelligence. AI-generated manifest shows load size before a salesperson is assigned. Prioritize serviceable customers at peak capacity.
The Customer	Hears back within 60 seconds. Professional, branded first impression. Does not have to repeat information when the salesperson calls.

What this means for SIRVA: Every lead SIRVA generates and delivers through the ADE API is immediately contacted, professionally qualified, and warm-transferred to the agent’s sales team. The data SIRVA invests in generating stops decaying at the level. Agent conversion rates go up. Lead utilization yield improves across the network.

04 / Output: The Preliminary Logistical Manifest

The Agent Receives Far More Than a Sales Brief

Listen to an actual call:

00:00

This system provides significantly more data than the standard GetOpportunityDetail response. It acts as a preliminary logistical manifest.

By instantly extracting specific inventory and packing requirements, the move coordinator saves ~20 minutes of discovery time per lead. More importantly, it allows for instant capacity planning. If an agent only has 25% truck space remaining for August loads, this AI-generated manifest allows the coordinator to immediately determine if they can logistically service the customer before a salesperson is even assigned.

FIRST RESPONDER CALL SUMMARY

ADE Opportunity Data (from source)

Move From	San Francisco, California
Move To	Miami Beach, Florida
Move Date	July 10, 2026
Channel	Consumer

Voice Qualification Data (3 min 30 sec)

Dwelling	House, 2 bedrooms
Kitchen	Self-pack
Fragile	Large mirror
Special	Gun safe, marble table
Outdoor	Barbecue, fire pit, iron patio set
Appliances	Deep freezer (washer/dryer staying)
Garage	Boxes, tools, miscellaneous
Storage	8×10 Storage unit
Vehicle	Classic car, Harley Davidson

Staff time offset: ~20 minutes replaced by 3 min 30 sec autonomous qualification

05 / Background: Built From the Inside Out

Engineered From the Inside Out: a force multiplier.

This is designed to increase the value of SIRVA’s existing infrastructure, not replace it.

I know Move Scout Pro: I worked on the sales floor of an Allied Van Lines terminal. I ran leads through the system, conducted in-home surveys, built proposals, and closed contracts.
I know the ADE API: I have deep, working familiarity with the ADE specification, including GetNewEvents queue consumption, OAuth 2.0 flows, and the specific MSP schema quirks (like DwelingType and OutOfTIme).
I know the Coordinator’s Pain: I know what happens when dispatch gets overwhelmed. I built this to take the repetitive grunt work off their plates so they can focus on logistics.
I know the Customer’s Pain: I know that if a prospect isn’t called back instantly, they call a competitor

The sidecar amplifies what SIRVA already does well (generating and delivering leads) by fixing what the terminals cannot do alone (instant, consistent first contact).

06 / The Opportunity: Sandbox Integration

UAT Provisioning Requirements
To validate the orchestration layer without interacting with live production data, the sidecar simply requires standard provisioning in the SIRVA testing environment (testmsopenapi.sirva.com):

What SIRVA Provides:

OAuth 2.0 Credentials: UAT client_id and client_secret for secure token generation.
Test Event Queue: An assigned EventQueueName populated with synthetic OpportunityCreated events.
Webhook Destination (Optional): Configuration to push the payload directly to our listener URL (bypassing the legacy polling loop).

What the Sidecar Executes:

The orchestration layer authenticates via OAuth 2.0, consumes events from the assigned test queue, retrieves opportunity detail payloads, and triggers the Voice AI qualification sequence. The full technical flow mirrors the production ADE spec and can be demonstrated live during sandbox provisioning

The orchestration logic and voice models are already fully operational. The final engineering step requires a SIRVA UAT sandbox to validate the payload flow end-to-end.

This is an architecture validation request. If you are on the SIRVA technology, BI, or agent operations team and want to see this in action, reach out below.

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Nick Angeli /labs