COMPARISON
BigChange is the all-in-one FSM workflow for UK trades and field service: CRM, drag-and-drop job scheduling, mobile JobWatch app, integrated vehicle tracking, financials, business intelligence and the Lightning AI agent layer (JustAsk, JobReady, JobScribe, FieldReady, JobBrief). eLogii is the routing and optimization depth layer that runs alongside BigChange when the planning problem grows past what the built-in scheduler is designed to solve. Two engines, six configurable modes, multi-day, multi-depot, recurring patterns, rule-based re-optimization, all callable over REST. Integration runs over BigChange’s RestAPI module on one side and eLogii’s REST API on the other.
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BigChange and eLogii sit in different layers of the same field-service stack. BigChange is the all-in-one workflow product: CRM, scheduling board, mobile app, vehicle tracking, financials, BI, the Lightning AI agent layer, subcontractor Network. eLogii is the routing engine that sits underneath the scheduling board for operations where the optimizer needs to do the heavy lifting.
The combined deployment pattern: BigChange stays the system of record for jobs, customers, invoicing, mobile field execution and BI. eLogii reads jobs, engineers, vehicles and depots from BigChange’s RestAPI, runs the optimization across the horizons BigChange’s built-in scheduler is not designed for, and writes optimized routes and ETAs back. The engineer opens the JobWatch app on site; the route they take is the one eLogii planned. BigChange keeps the workflows it owns end to end; eLogii handles the optimization layer underneath.
This is not a head-to-head FSM comparison. BigChange is the FSM workflow and eLogii is the routing engine that runs underneath it. The tables below cite BigChange’s own product pages verbatim where they describe scheduling and route optimization scope, and stack them against the optimization-driven side of the problem.
Calculate the fastest route between jobs while accounting for traffic, engineer skills, and vehicle equipment.
From bigchange.com/features/job-scheduling/. The relevant verb is “calculate the fastest route between jobs”: BigChange’s scheduler optimizes the route once the planner has assigned the jobs. eLogii’s engine decides the assignments themselves under constraint. Verified June 2026.
| BigChange | |
|---|---|
| Drag-and-drop scheduling | “Drag jobs onto your team’s calendar and watch them appear instantly on mobile devices” |
| Route between assigned jobs | “Calculate the fastest route between jobs while accounting for traffic, engineer skills, and vehicle equipment” |
| Multi-day jobs | “Create jobs that span multiple days and assign them to one or more engineers”; tracks progress, materials, hours per day |
| Multi-engineer assignment | Bulk reassignment of hundreds of jobs by drag-and-drop |
| Recurring PPM schedules | “Set up recurring service schedules for PPM work” with automatic generation |
| Documented planning outcomes | 11% less drive time, 10% time saved per job, 10% less fuel (BigChange’s own benchmarks) |
| eLogii adds | BigChange today | |
|---|---|---|
| Optimizer-driven assignment | Engine decides which engineer takes which job under skills, capacity, time-window, SLA and depot constraints | Drag-and-drop assignment by the planner, then “calculate the fastest route between jobs” |
| Multi-depot routing in one pass | Route across multiple depots, branches and home start locations as a single optimization input | Per-engineer home/depot start; multi-depot rebalancing as an operator task |
| Multi-day, long-haul, full-month horizons | Plan a single day or an entire month in one run; multi-day routes with overnight stops | Multi-day jobs supported as assignment; not solved as a multi-day optimization across crews |
| Recurring patterns at scale | Task and route template groups: weekly, monthly, quarterly, bespoke cadences modeled as inputs to the optimizer | Recurring PPM supported as schedule generation; not as constraint-aware recurring-route optimization |
| Two engines, six configurable modes | Default + Advanced engines, three assignment modes + three load-balancing modes, all REST-callable | No public optimization engine; route calculation runs inside the scheduler |
| Rule-based re-optimization | Operator-visible rules; live re-optimize while protecting locked SLAs and customer-confirmed slots | Manual re-planning on the scheduling board |
| Slot booking co-pilot | Route-aware availability calculation: only slots that fit the current optimized plan, returned to your booking layer over REST | Online customer booking portal; route-aware availability not the lead workflow |
Sources: BigChange Job Scheduling, BigChange Features, BigChange pricing; eLogii optimization engines. Verified June 2026.
This is where BigChange shines and eLogii deliberately does not compete on the FSM workflow itself. Both platforms publish capable mobile and customer-facing surfaces; BigChange’s is broader because it is the entire job lifecycle, eLogii’s is deeper specifically on routing and delivery execution.
| BigChange | eLogii | |
|---|---|---|
| Mobile app for the field | Native JobWatch app (iOS, Android): job sheets, photos, signatures, time capture, navigation, vehicle tracking integration | Native driver app: navigation, configurable POD/POS, conditional steps, live GPS, photo/signature capture, barcode scanning |
| Customer booking surface | Online customer booking portal with capacity-aware slots | Slot booking co-pilot returns only slots that fit the current optimized plan; ~35% fewer failed visits |
| Self-service rescheduling | Customer portal supports reschedule; route-aware availability not the lead workflow | Co-piloted route-aware slot selection; ~70% of reschedule requests handled without coordinator |
| Vehicle telematics | Hard-wired vehicle tracking, live Google mapping, geofencing, journey history, AI Dashcams (add-on) | Live driver GPS stream via webhook; integrations with Samsara, Geotab, TomTom for telematics where the customer prefers a specialist |
| Lightning AI agents | JustAsk (BI chat), JobReady, JobScribe, FieldReady, JobBrief, each tied to the BigChange data model | Out of scope – AI agents over the FSM data sit with BigChange; eLogii’s ML investment is in the optimizer itself |
| eLogii | BigChange | |
|---|---|---|
| API style | REST, JSON over SSL, ApiKey authentication, predictable resource URLs | REST, JSON; available as the “RestAPI” module under the “Extras” section of the BigChange plan |
| API access | Included as part of the platform; documented at elogiiapidocs.apidog.io | RestAPI is a paid add-on alongside the Standard or Plus license tier |
| Sandbox environment | Full API parity at api-sandbox.elogii.com | Sandbox availability is customer-arranged with BigChange support |
| Bulk operations | POST /tasks/createOrUpdateMany handles hundreds of tasks per call | Per-resource endpoints; bulk patterns are integration-driven |
| Webhooks | Seven event types including Driver/Task Tracking Update with live GPS stream and Route ETAs Update | Webhook events across job lifecycle; live GPS stream not the lead event |
| Optimization callable via API | All six modes callable via REST; lock specific routes, manually reorder stops, re-run with new constraints | No public optimization endpoint; route calculation is a scheduler feature, not an external API |
Sources: eLogii API documentation, BigChange pricing – RestAPI module. Verified June 2026.
| eLogii | BigChange | |
|---|---|---|
| Layer in the stack | The routing and optimization layer underneath the scheduling board. Runs alongside an FSM, never replaces it. | The all-in-one FSM workflow: CRM, scheduling, mobile, vehicle tracking, financials, BI, Lightning AI, Network. |
| Where it shines | Operations where the optimizer needs to decide assignments under heavy constraints across days, depots and crews | UK trade and field service: plumbing/HVAC, fire and security, facilities management, electrical, equipment hire, drainage and waste, building maintenance |
| Reference customers | J-Club, NHS, Belfast City Council, Vergo, Bristow & Sutor, Greenix, Porcelanosa, Brymec, Heatleys | Prymo, Greenspark, Algeco, Subscan, Pinnacle and others; 2,200+ customers across 250,000+ users |
| Security certifications | ISO 27001 + SOC 2 Type 2, publicly listed | Enterprise security controls documented on bigchange.com; confirm current certifications directly with the vendor |
| Typical implementation | 3 to 5 weeks against BigChange’s RestAPI; Heatleys went live fast after a 20-platform evaluation | BigChange-led onboarding for the FSM workflow; integration runs over the RestAPI module |
| Pricing model | Platform fee, banded by field staff/drivers/jobs per day/modules, from $3,000/mo. Composes with what BigChange charges per license. | GBP 79.95/license/month Standard, GBP 99.95/license/month Plus, with RestAPI, AI Dashcams, Fleet and Fuel Cards as add-ons. |
| Customer review stance | 3 to 4× ROI within 6 months typical; fast time-to-value cited | Capterra and GetApp consistently praise the all-in-one workflow and JobWatch app; common review notes flag complexity at scale, mobile slowdowns under heavy use, and offline limitations |
Sources: bigchange.com, BigChange pricing, Capterra, GetApp reviews. Verified June 2026.
This is where BigChange and eLogii do different jobs. BigChange’s scheduler is built around drag-and-drop assignment by the planner, then a route calculation between the assigned jobs. eLogii’s optimizer is built around constraint-aware assignment and routing in one pass. Both are valid approaches; they fit different shapes of the same problem.
Three claims, taken directly from BigChange’s own product pages:
BigChange’s reported planning outcomes, taken from the same product page, are 11% less drive time, 10% time saved per job and 10% less fuel used. Those are real numbers for a real workflow product. What BigChange’s docs don’t claim is constraint-aware optimization across multi-day, multi-engineer and multi-depot in one pass, programmatic re-optimization as a public surface, or a documented optimization API. That’s a deliberate product choice: BigChange’s scheduler is a workflow tool that solves “route between the jobs the planner has put on the calendar”. It is not the wrong tool. It is the tool for that shape of the problem.
eLogii’s optimizer is built around two engines and six configurable modes, all callable via REST and exposed to the planner as controls they can see and adjust.
Beyond the modes, eLogii ships the operational surface BigChange’s scheduler isn’t designed to lead on: multi-day and long-haul routing (“plan a single day or an entire month in one run”), multi-depot (“route across multiple depots, branches, or home start locations in a single run”), recurring patterns via task and route template groups (weekly, monthly, quarterly, bespoke cadences modeled as inputs to the optimizer, not as generated schedules to be hand-rebalanced), multi-engineer crew jobs with skills, capacity and SLA constraints, and rule-based re-optimization the operator can see and steer.
If the planner’s morning routine is “drag yesterday’s repeat jobs onto today, slot the new ones in, look at the map”, BigChange is the right tool and adding eLogii would be over-engineering. If the planner’s morning routine is “run the optimizer against today’s open jobs across four depots, balance against next week’s recurring program, protect the SLA-locked stops, route around the engineer who’s off Tuesday”, BigChange’s scheduler is being asked to do a job it wasn’t built for. eLogii covers that side via REST API; BigChange stays in place for everything else.
Being able to become more data-driven and measure how we are performing against goals and having a solution that puts us in a position to proactively double down where we are succeeding and address issues quickly as they come up is very powerful.
James Gilding, CEO, Vergo Pest Management · 400+ technicians, multi-depot operation
BigChange’s scheduler covers a wide band of field-service operations well. The signal that the planning problem has grown past it tends to be operational rather than headcount-based. Three patterns show up:
Where any of these is the dominant shape of the work, eLogii is the routing layer. Where none of them is, BigChange’s built-in scheduler is the right tool and adding eLogii is over-engineering. The honest answer for many BigChange customers is “you don’t need eLogii.” The honest answer for the operations where the optimizer is the bottleneck is that eLogii is built for exactly that.
BigChange continues to do the FSM work it’s built for. The difference shows up where the planning problem used to dominate. Brymec lifted productivity 30% and routing efficiency 20% on eLogii. ATS Building Products improved deliveries per route by ~98%. Porcelanosa runs eLogii with 95%+ ETA accuracy on daily distribution. Unimasters runs eLogii across a multi-country operation and achieved 50% less planning time and 49% fewer service calls. These are operational outcomes that come from moving the assignment problem from the planner’s morning into the optimizer:
The typical field service stack: an FSM for the job workflow (BigChange, Simpro, Joblogic, Salesforce Field Service, MS Dynamics 365 Field Service, ServiceTitan), an ERP for finance, inventory and customer master data (SAP, NetSuite, MS Dynamics 365 BC, Sage, Acumatica), telematics for the vehicles (BigChange’s integrated tracking, Samsara, Geotab, TomTom), and a routing layer underneath the scheduling board for operations where the optimizer is the bottleneck.
eLogii is built for that shape. It plugs into BigChange, Simpro or whichever FSM is already in place as the routing layer, leaving CRM, mobile field execution, invoicing, BI and the Lightning AI agents where they already are. The engineer opens the JobWatch app on site; eLogii plans the route they take to get there, surfaces the live ETAs, picks up GPS, and pushes completion back into BigChange. The common patterns:
What makes the stack pattern straightforward:
api-sandbox.elogii.com so integration work can run in parallel with the existing FSM/ERP rollout.POST /tasks/createOrUpdateMany handles hundreds of tasks per call, built for high-volume ingest from any FSM or ERP.BigChange itself exposes a RestAPI module under the “Extras” section of its plan, with REST/JSON endpoints across the job, customer, engineer and vehicle data model. The two APIs combine cleanly: eLogii calls BigChange to read jobs, engineers, vehicles, depots and skills, runs the optimization across the routing horizons BigChange’s built-in scheduler is not designed to solve, and writes optimized routes and ETAs back. BigChange’s mobile JobWatch app picks up the planned route; completion data flows back into BigChange’s financials, BI and Lightning agents.
Both products expose a REST API. BigChange’s is the integration surface for an all-in-one FSM data model. eLogii’s is the integration surface for a routing and optimization engine, with the optimizer itself callable as REST endpoints.
api-sandbox.elogii.com, full parity with production at api-35.elogii.com.POST /tasks/createOrUpdateMany handles hundreds of tasks per call, built for high-volume ingest from any FSM or ERP.For an integration team, the typical pattern when both products are in the stack: BigChange owns the system of record for jobs, customers, engineers, vehicles, invoicing and BI; eLogii reads jobs/customers/engineers/vehicles/depots from BigChange over the RestAPI, runs the optimization across the horizons BigChange’s scheduler is not designed for, writes optimized routes and ETAs back; JobWatch shows the route to the engineer; completion writes back to BigChange for invoicing and reporting.
eLogii runs alongside BigChange; it does not replace what you’re paying BigChange today. The question is what eLogii adds on top, and what it costs to add it.
eLogii pricing starts from $3,000 per month as a platform fee, banded by field staff, drivers, jobs per day and the modules required. Each band includes a quota; cost steps up when the operation crosses a band, not when you add an individual seat. Customers typically report 3 to 4× return on investment within 6 months, and combined BigChange + eLogii rollouts complete in 3 to 5 weeks including the integration.
BigChange publishes pricing directly on bigchange.com/pricing: Standard at GBP 79.95 per license per month (vehicle tracking, fleet management, quote/invoice, job card management, customer booking portal, BI dashboards) and Plus at GBP 99.95 per license per month (everything in Standard plus team planning/scheduling, device management, rugged hardware, free installation, 2-year warranty). Add-ons charged on top: AI Dashcams, Fleet, Fuel Cards, RestAPI module. The pricing models compose cleanly: BigChange charges per license for the FSM workflow, eLogii charges a platform fee for the routing layer. There is no per-seat cost from eLogii.
30-minute custom simulation with your real BigChange jobs, schedules and locations. Projected savings in drive time, fuel and planner hours from adding eLogii on top.
We have been extremely impressed with the results from eLogii so far. The solution is powerful and the team have found it extremely intuitive and easy to get going with. We signed a multi-year agreement with eLogii and are looking forward to deepening our relationship with them over the next years.
Anthony O’Keeffe, CEO, Bristow & Sutor · 200+ enforcement agents, 200,000+ case visits routed annually
Three steps for BigChange customers whose planning problem has grown past what the built-in scheduler is designed to solve. BigChange stays in place for the FSM workflow; eLogii layers on as the routing engine.
Engineers, vehicles, depots, customers, jobs and recurring patterns sync from BigChange via the RestAPI module. Engineer home locations, business units, job types and skill sets map to eLogii drivers, depots and constraints. BigChange recurring PPM schedules become eLogii task and route template groups. Read-write integration designed so BigChange stays the system of record.
Weeks 1–2Custom data simulation against your historical BigChange jobs so you can validate the modeling and project savings before go-live. Side-by-side comparison: what BigChange’s built-in scheduler produces today vs. what eLogii’s optimizer produces with multi-day, multi-depot or recurring-program optimization on the same data.
Weeks 2–3Start with the business unit where BigChange’s built-in scheduler is leaking the most: usually a multi-depot regional book, a recurring-service program at scale, or the part of the operation where the planner is hand-rebalancing every morning. Run it on eLogii, prove the lift on real jobs, then expand. BigChange keeps owning the FSM workflow in parallel. Most teams complete the transition in 3 to 5 weeks total including the integration.
Weeks 3–5Unimasters runs eLogii across a multi-country operation and achieved 50% less planning time and 49% fewer service calls. Multi-country rollouts deploy in weeks, not quarters.
BigChange’s scheduler is excellent at what it’s built for. Four patterns where operations grow past the layer where drag-and-drop works, and where eLogii adds the optimization engine underneath. Each has its own deep dive:
BigChange “calculates the fastest route between jobs” once the planner has assigned them. The optimization engine that decides the assignments themselves under constraint is its own layer.
BigChange treats depot as a per-engineer starting point. Regional contractors need cross-depot rebalancing as a single optimization input. eLogii covers it.
BigChange generates the schedule for PPM work. Optimizing the generated stops under interacting SLAs and cadences at scale needs an engine underneath.
BigChange’s booking portal returns capacity-aware slots. Route-aware availability that respects the current optimized plan is its own layer.
A single overview of the four patterns where BigChange’s scheduler reaches its design ceiling, plus diagnostic signals for spotting them.
Complement, in most cases. BigChange owns the FSM workflow end to end: CRM, job scheduling, mobile JobWatch app, vehicle tracking, financials, business intelligence and the Lightning AI agent layer. eLogii is the routing and optimization depth layer that runs alongside BigChange when the planning problem starts to dominate: dense multi-day commercial books, recurring service programs at scale, multi-depot regional teams, optimizer-driven assignment under heavy constraints. BigChange stays the system of record; eLogii reads jobs and writes back optimized routes over its REST API. The connection between the two products is custom-built using BigChange’s RestAPI module (a paid add-on on the BigChange plan) and eLogii’s REST API.
When the planning problem stops looking like “route between the jobs the planner already assigned today” and starts looking like “decide the assignments themselves under hundreds of competing constraints, across multiple days, multiple depots and recurring cadences”. BigChange’s scheduler is built around drag-and-drop, route-between-jobs heuristics, with route optimization that “calculates the fastest route between jobs while accounting for traffic, engineer skills, and vehicle equipment”. That fits most field service operations well. Once the operation needs the optimizer to do the assignment work, multi-depot to a regional book, multi-day across crews, recurring patterns at thousands of stops, eLogii layers on top via REST API.
Yes for the basics, with operator effort. BigChange’s job scheduling explicitly supports multi-day jobs (“create jobs that span multiple days and assign them to one or more engineers”) and multi-engineer assignment via drag-and-drop. PPM and recurring schedules are supported. What BigChange’s published docs don’t claim is constraint-aware optimization across all three at once, multi-depot routing as a first-class input, or programmatic re-optimization with operator-visible rules. That’s where eLogii’s two-engine, six-mode optimizer adds depth, with the FSM workflow staying in BigChange.
Integration runs over both products’ REST APIs. BigChange exposes a RestAPI module that customers add to their plan; eLogii’s REST API has 70+ endpoints, ApiKey auth, a full-parity sandbox at api-sandbox.elogii.com and seven webhook events including live driver GPS and Route ETAs Update. The typical pattern, Typically: eLogii reads jobs, engineers, vehicles and depots from BigChange, runs the optimization across the routing horizons BigChange’s scheduler doesn’t reach, writes optimized routes and ETAs back. The engineer opens the BigChange mobile app on site; the route underneath is the one eLogii planned. Completion writes back to BigChange for invoicing and reporting.
BigChange publishes two tiers on bigchange.com/pricing: Standard at GBP 79.95 per license per month and Plus at GBP 99.95 per license per month, with the RestAPI module, AI Dashcams and Fleet/Fuel Cards charged on top. eLogii is a platform fee, banded by field staff, drivers, jobs per day and modules, from $3,000 per month. The pricing models compose: BigChange charges per license for the FSM workflow, eLogii charges a platform fee for the routing layer. Customers typically report 3 to 4× return on investment within 6 months on eLogii, driven by drive-time reduction, planner-hour reduction and SLA improvements.
Typically 3 to 5 weeks from kickoff to a phased go-live, including building the custom connector against BigChange’s RestAPI. eLogii reads jobs, customers, engineers, vehicles and depots from BigChange’s RestAPI; routes, ETAs and completion data flow back. Most teams start with the business unit where BigChange’s built-in scheduler is leaking the most: usually the multi-depot regional book, a recurring-service program, or the part of the operation where the planner is hand-rebalancing every morning. BigChange stays in place for everything else.
Three reasons. First, BigChange’s scheduler is built around “fastest route between jobs” calculation after the planner has assigned them; once the operation needs the optimizer to do the assignment, BigChange is not the tool. Second, BigChange’s reported customer outcomes (11% less drive time, 10% time saved per job, 10% less fuel) reflect operational improvements at small to mid-sized teams; eLogii customers at scale report multiples of those outcomes (Brymec 30% productivity and 20% routing efficiency; ATS Building Products 98% improvement in deliveries per route; Porcelanosa 60%+ planning time cut). Third, eLogii exposes the optimizer as REST endpoints with seven webhook events, so the routing layer integrates cleanly with whatever else the operation runs.
Yes. eLogii runs operations at scale: J-Club (9,000+ stores), NHS, Belfast City Council, Vergo Pest Management (400 technicians, Tyro Group), Bristow & Sutor (200+ enforcement agents, 200,000+ case visits routed annually), Porcelanosa, Caldic and Berkmann Wine Cellars. ISO 27001 and SOC 2 Type 2 certified.
Last updated: June 2026. Information about BigChange is drawn from bigchange.com (Features, Job Scheduling product page, Pricing), Capterra and GetApp reviews, and Great Hill Partners’ announcement of the Simpro acquisition. Information about eLogii is drawn from elogii.com and the eLogii API documentation. All quoted BigChange product-page text is taken verbatim from their published pages.
Custom simulation
A 30-minute working session with our solutions team. We take a sample of your real jobs, depots, vehicles and SLAs, run them through the eLogii engine, and show you the projected delta against how you plan today. No slides, no generic benchmarks.