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Home Artificial Intelligence

Tabi Connect Says Rising Diesel Costs and Tender Rejections Are Making Freight Pricing, Margin Intelligence, and Automation Essential to Protecting Broker Margins

October 14, 2026
in Artificial Intelligence, GlobeNewswire, Web3
Reading Time: 9 mins read
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As ca ie s tu dow mo e co t act f eight headi g i to peak seaso , mo e loads a e la di g o the spot ma ket. B oke s that ca ot quote quickly o shifti g buy ates isk losi g the load, the ma gi , o both.

MIAMI, Oct. 14, 2026 (GLOBE NEWSWIRE) — Tabi Co ect (“Tabi”) is a AI-powe ed p ici g i tellige ce a d automatio platfo m that helps t uckload b oke s bid o mo e tha $29 billio i f eight a ually. As peak seaso volatility a d diesel p ices d ive up te de ejectio s a d push f eight to the spot ma ket, b oke s face a u ge t eal-time quoti g challe ge to p otect thei ma gi s. Tabi emphasizes that static o delayed p ici g is o lo ge viable a d secu i g p ofitable busi ess i today’s ma ket equi es b oke s to evaluate movi g buy ates a d issue accu ate quotes i sta tly befo e high-ma gi spot oppo tu ities pass.

T uckload te de ejectio s have climbed to about 14.5% si ce Septembe 21, 2026 a d a e t acki g above 2023 a d 2024 levels, acco di g to F eightWaves SONAR data. At the same time, spot ates have ise f om oughly $2.40 pe mile a yea ago to $3.42 pe mile, leavi g ca ie s ahead of last yea o a et eve ue basis despite elevated diesel p ices.

Diesel p ices a e i te sifyi g the squeeze, the atio al ave age p ice of diesel was $6.38 pe gallo i Septembe 2026, about $2.63 mo e, o oughly 70% highe , tha a yea ea lie , acco di g to the U.S. E e gy I fo matio Admi ist atio . P ices a e also movi g quickly a d u eve ly a d ose about 24 ce ts i the week of Septembe 21st, the fell about 15 ce ts the ext week, while egio al ave ages a ged f om about $5.96 pe gallo o the Gulf Coast to $7.36 o the West Coast.

That volatility mea s a quote that looked p ofitable i the mo i g ca become u de p iced by the afte oo if the ca ie ma ket moves faste tha the b oke age’s p ici g p ocess. Whe a outi g guide u s out of ca ie s willi g to take the load, that f eight becomes a spot quote equest, ofte se t to seve al b oke s at o ce with a sho t espo se wi dow. Fuel su cha ges typically apply o ly to loaded miles, so ca ie s fold u ecove ed deadhead a d epositio i g costs di ectly i to thei base buy ate, causi g the b oke ‘s actual cost to ise eve if the fuel su cha ge table emai s u cha ged.

Fo b oke s still quoti g by ha d, that combi atio c eates immediate ope atio al isk: missed bid wi dows, stale ca ie costs, a d i co siste t p ici g ac oss eps quoti g the same la e. I a u stable ma ket, co siste cy becomes just as impo ta t as speed because eve small p ici g disc epa cies ca c eate ma gi leakage ac oss b a ches, teams, a d custome s. Ma ual teams eithe espo d slowly a d lose the load to a faste competito o quote f om yeste day’s buy ate a d isk ca yi g a thi ma gi , o o ma gi at all, o ce the t uck is booked.

“Whe ejectio s climb, the spot ma ket becomes the f o t li e fo b oke ma gi ,” said Ricky Go zalez, CEO a d co-fou de of Tabi Co ect. “B oke s do ’t get mo e time to quote just because the e’s mo e f eight. The o es who ca p ice quickly, o cu e t buy ates, the same way eve y time, a e best positio ed to captu e the ma gi peak seaso offe s.”

Tabi’s ate ma ageme t system (RMS) helps b oke s espo d faste without sac ifici g ate discipli e. The platfo m pulls f eight quote equests f om shippe TMS platfo ms, bid boa ds, email, a d APIs i to a si gle system, the applies each b oke age’s custom p ici g ules, i cludi g ma kups a d fuel su cha ges, so eve y quote eflects cu e t costs a d co siste t logic. B oke s ca update these ules i plai E glish as ma ket dy amics shift, while Tabi’s Co t ol Towe gives teams ove sight befo e quotes a e se t.

“Peak seaso is a ma gi oppo tu ity fo b oke s who a e eady fo it,” said Go zalez. “The goal of automatio is to help b oke s quote the f eight they actually wa t, at a ate that still makes se se o ce the t uck is booked, while the wi dow is still ope .”

To lea how Tabi Co ect helps b oke s automate f eight quoti g a d p otect ma gi s, visit tabico ect.com.

About Tabi Co ect

Tabi Co ect is a AI-powe ed ate ma ageme t a d f eight quoti g platfo m built to automate a d e ha ce the wo k of f eight b oke s a d shippe s di ectly whe e that wo k happe s — i side the quoti g wo kflows, p ici g decisio s, a d ope atio al systems they ely o eve y day. By i teg ati g with shippe TMS platfo ms, APIs, RPA wo kflows, a d email, Tabi Co ect ce t alizes i bou d quote equests i to a si gle i tellige t system a d eplaces ma ual data e t y with AI-d ive busi ess ules that ca be updated i sta tly usi g plai E glish.

Tabi Co ect ce t alizes all quoti g data i to a eal-time system of eco d a d uses AI-powe ed a alytics to su face i sights i plai E glish ac oss shippe s, la es, a d ma kups, with built-i gove a ce a d auditability.

T usted by mo e tha 100 custome s, i cludi g seve al of the top 100 t a spo tatio compa ies i No th Ame ica, Tabi Co ect p ocesses millio s of quotes fo No th Ame ica’s la gest shippe s with speed a d accu acy.

To lea mo e about Tabi Co ect, visit tabico ect.com.

Media Co tact

Michaela Dildi e

LeadCove age

michaela.d@leadcove age.com

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